ofthe Engineering in Medicineand BiologySocietyPart2: Track2: BioelectricPhenomena 0496-0562 Track 15: Electrocardiography 0563-0832 Track25: NeuromuscularSystems 0833-0949 Track 16:

Proceedings of theAnnua! International Conference

of the

IEEE Engineering in Medicine and Biology Society

Volume 13:1991

Orlando, Florida, USA • October 31 - November 3, 1991

EDITED BY

Joachim H. NagclWilliam M. Smith

91CH3068-4

IEEE

Part 1/5

Imaging Modalities and Systems, Medical Ultrasound, Bioengineering in Dentistry,

Processing ofBiological Signals

THIS PART CONTAINS:

Track 12; ComputedTomographyTrack 20: Magnetic Resonance ImagingTrack 22: Medical Ultrasound

Track 27: Positron Emission TomographyTrack 28: Physiological ImagingTrack 3: Bioengineering in DentistryTrack 30: Processing of Biological Signals

UNIVERSITAT8B1BUOTHEKHANNOVER

TEGMNI8CHE

INP0RMATIONS3IBLI0THEK

PROCEEDINGS EMBS 1991

Proceedings of the 13th Annual International Conference

of the IEEE Engineering in Medicine and Biology Society"New Frontiers of Biomedical Engineering - Innovations from Nuclear to Space Technology"Orlando, Florida, USA • October 31 - November 3,1991

OVERVIEW BY TRACKS part Pages

Track 1: Aerospace Applications 5 1940-1961

Track 2: Bioelectric Phenomena 2 0496 - 0562

Track 3: Bioengineering in Dentistry 1 0327 -0355

Track 4: Bioengineering Education 5 2348 - 2366

Track 5: Biomaterials 3 1474- 1481

Track 6: Biomechanics 5 1962 - 2042

Track 7: Biomedical Applications of Automatic Control 5 2141 - 2184

Track 8: Biophysical and Biochemical Measurements 4 1482 - 1559

Track 9: Biosensors 4 1560-1632

Track 10: Cardiovascular Mechanics 5 2043-2140

Track 11: Clinical Engineering 5 2367-2385

Track 12: Computed Tomography 1 0001 - 0059

Track 13: Computers in Medicine 3 1040 - 1257

Track 14: Critical Care Monitoring 4 1633 -1669

Track 15: Electrocardiography 2 0563 - 0832

Track 16: Electromagnetic Interactions 2 0950 - 1039

Track 17: Expert Systems in Medicine 3 1258 - 1348

Track 18: Instrumentation 4 1670-1741

Track 19: Lasers and Electrooptics 4 1742 - 1780

Track 20 Magnetic Resonance Imaging 1 0060 - 0128

Track 21: Medical Informatics 3 1349 - 1392

Track 22: Medical Ultrasound 1 0129 - 0200

Track 23: Molecular Electronics 4 1781 -1802

Track 24: Neural Networks 3 1393 -1473

Track 25: Neuromuscular Systems 2 0833 - 0949

Track 26: Nonlinear Dynamics in Biomedical Engineering 5 2185 - 2243

Track27: Positron Emission Tomography 1 0201 -0228

Track 28: Physiological Imaging 1 0229 - 0326

Track 29: Physiological Modeling 5 2244 - 2331

Track 30: Processing of Biological Signals 1 0356 - 0495

Track 31: Rehabilitation Engineering 4 1803 - 1872

Track 32: Sleep and Respiratory Control Dynamics 5 2332 - 2347

Track33: Speech, Hearing, and Vision Aids 4 1873 - 1931

Track 34: Health Care Technology and Alternate Therapy 5 2386 - 2397

Track 35: Technology for the Aged 4 1932- 1939

1-X

EMBS1991 PROCEEDINGS

OVERVIEW BY PARTS

Part 1: PagesTrack 12: Computed Tomography 0001 - 0059

Track 20 Magnetic Resonance Imaging 0060 - 0128

Track 22: Medical Ultrasound 0129 - 0200

Track 27: Positron Emission Tomography 0201 - 0228

Track 28: Physiological Imaging 0229 - 0326

Track 3: Bioengineering in Dentistry 0327 - 0355

Track 30: Processing of Biological Signals 0356 - 0495

Part 2:

Track 2: Bioelectric Phenomena 0496-0562

Track 15: Electrocardiography 0563 - 0832

Track 25: Neuromuscular Systems 0833 - 0949

Track 16: Electromagnetic Interactions 0950 - 1039

Part 3:

Track 13: Computers in Medicine 1040 - 1257

Track 17: Expert Systems in Medicine 1258 - 1348

Track 21: Medical Informatics 1349 - 1392

Track 24: Neural Networks 1393 - 1473

Track 5: Biomaterials 1474- 1481

Part 4:

Track 8: Biophysical and Biochemical Measurements 1482 - 1559

Track 9: Biosensors 1560 - 1632

Track 14: Critical Care Monitoring 1633 - 1669

Track 18: Instrumentation 1670 - 1741

Track 19: Lasers and Electrooptics 1742- 1780

Track 23: Molecular Electronics 1781 - 1802

Track 31: Rehabilitation Engineering 1803 - 1872

Track 33: Speech, Hearing, and Vision Aids 1873- 1931

Track 35: Technology for the Aged 1932-1939

Part 5:

Track 1: Aerospace Applications 1940- 1961

Track 6: Biomechanics 1962 - 2042

Track 10: Cardiovascular Mechanics 2043-2140

Track 7: Biomedical Applications of Automatic Control 2141 - 2184

Track 26: Nonlinear Dynamics in Biomedical Engineering 2185 - 2243

Track 29: Physiological Modeling 2244-2331

Track 32: Sleep and Respiratory Control Dynamics 2332 - 2347

Track 4: Bioengineering Education 2348 - 2366

Track 11: Clinical Engineering :....2367 -2385

Track 34: Health Care Technology and Alternate Therapy 2386 - 2397

1 -XI

Table of Contents EMBS 1991

Part 1/5

Imaging Modalities and Systems, Medical Ultrasound,

Bioengineering in Dentistry, Processing of Biological Signals

Track 12: Computed Tomography-Session 1. Impedance Tomography I

12.1-1: A Combinatorial Optimization Approach as a Pre-Processor for Impedance TomographyM.E. GUdewell, K.T. Ng and E. Hensel*, Dept. of Electrical and Computer Engin., *Dept. Mechanical Eng.,New Mexico State University, Las Cruces, NM

12.1-2: A Layer-Stripping Reconstruction Algorithm for Impedance ImagingM. Cheney, D. Isaacson, E.J. Somersalo**, E. L. Isaacson*, and E.J. Coffey***, Dept. of Math Sci, ***

Dept. of

Btomed. Engr., Rensselaer Poly, Inst., Troy, NY, **U.Helsinki, *

U.Wyoming

12.1-3: A High-Speed, High-Precision Electrical Impedance TomographG.J. Saulnier, R.D. Cook, D.G. Gisscr, J.C. Goble, C.G. Hochgraf, D. Isaacson and J.C. Newell, Dept. of Elect.,

Computer, System, Eng. Biomedical Engin., Computer Sci., and Math., Rensselaer Polytechnic Inst., Troy, NY

12.1-4: Sensitivity Analysis and Inverse Problem Solution of Electrical Impedance Using Induced

Currents

N.G. Gencer, Y.Z. Ider and M. Kuzuoglu, Dept. of Electrical and Electronic Engineering, Middle East Technical

Univ., Ankara Turkey

12.1-5: Estimation of Tissue Resistivities Using Electrical Impedance ImagingB.M. Eyuboglu and T.C. Pilkinton, Dept. of Biomedical and Electrical Engineering, Duke University, Durham,

NC

12.1-6: Noise and Spatial Resolution in Images from a Real-Time Electrical Impedance TomographA.M. Slnton, B.H. Brown, D.C. Barber, F.J. McArdle and R.W.M. Smith, Dept. of Medical Physics and Clinical

Engr., University of Sheffield and Royal Hallamshire Hospital, Sheffield, U.K.

Session 2. Impedance Tomography II

12.2-1: Bussed Signal Conditioning Modules for Electrical Impedance TomographyC. Boulay, R. Guardo, B. Venne and M. Bertrand, Inst, de genie biomedical, Ecole Polytcchnique ct Univ. de

Montreal, Montreal, Que., Canada

12.2-2: A Neural Network Approach to Image Reconstruction in Electrical Impedance TomographyR. Guardo, C. Boulay and M. Bertrand, Inst, de Genie Biomedical, Ecole Polytechnique et Univ. de Montreal,

Montreal, Que., Canada

12.2-3: Imaging Permittivity in Electrical Impedance TomographyH. Griffiths, H.T.L. Leung* and R.J. Williams*. Dept. of Medical Physics, Univ. Hosp. of Wales, Cardiff, UK,

*Dept. of Electronics, Polytech. of Wales, Mid Glam, UK

12.2-4: High Frequency Imaging of Capacitive TargetsJ. Jossinet and C. Trillaud, INSERM, Lyon, France

12.2-5: Distortions in Applied Potential Tomographic Images Due to Non-Uniform Reference

Conductivity Distributions

N.J. Avis, D.C. Barber, B.H. Brown and M.A. Kiber, Sheffield Univ. and Health Authority, Dept. of Medical

Physics & Clinical Engr., Royal Hallamshire Hospital, UK

12.2-6: A Phase Sensitive Voltmeter for a High-Speed, High-Precision Electrical Impedance TomographR.D. Cook, G.J, Saulnier and J.C. Goble, Dept. of Biomedical Engin., Electrical, Computer, Systems Engin.,and Computer Science, Rensselaer Polytechnic Inst, Troy, NY

12.2-7: Analog Electronics for a High-Speed, High-Precision Electrical Impedance TomographD.G. Gisser, J.C. Newell, G. Saulnier, C. Hochgraf, R.D. Cook and J.C. Goble, Dept. or Elect., Computer, and

Sys. Engin., and Computer Science, Rensselaer Polytechnic Inst., Troy, NY

Session 3. Computed Tomography: Methods and Evaluation

12.3-1: Optimal Detection Theory and Image Reconstruction-Comparison of Performance in the

Presence of Noise

D.Jalihal and L.W. Nolte, Dept. of Electrical Engineering, Duke University, Durham, NC

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12.3-2: Maximum Likelihood X-Ray Computed Tomography: Preliminary Simulation Results 0028

J.A. Browne and T.J. Holmes, Dept. of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY

12.3-3: A Convolution Method of Energy Spectral Crosstalk Correction for Simultaneous, Dual-Isotope 0030

SPECT

D.R. Neumann, Dept. of Nuclear Medicine, The Cleveland Clinic Foundation, Cleveland, OH

12.3-4: Computer Simulation of Inherent Differences Between Dual Energy Computed Tomography 0033

Methods for Mineral Estimation

C.C. Wu, T.N. Hangartner and H.A. Bismar, Dept. of Biomedical and Human Factors Engineering, WrightState University, Dayton, OH

12.3-5: A Geometric Alternative to Computed Tomography 0035

J.-P. Thirion, INRIA. Le Chesnay, France

12.3-6: Three Dimensional Image Reconstruction by Digital Tomo-Synthesis 0037

I-I. Matsuo, A. Iwata, I. Horiba*, N. Suzumura, T. Sawada**, and S. Koga**, Dept. of Elect, and Comp. Engr.,Nagoyalnst. of Tech., Nagoya, Japan, Meijo Univ., Japan, **

Fujita Gakuen Univ. Hospital, Japan

Session 4. 3D Display and Manipulation

12.4-1: Matching of Medical Images for Computed and Robot Assisted Surgery 0039

S. Lavallee, L. Brunie, B. Mazier and P. Cinquin, Faculte de Medecine de Grenoble, France

12.4-2: Raytracing of Medical 3D Tomographies 0042

H.P. Meinzer, K. Meetz and D, Scheppelmann, Dept. of Medical and Biological Informatics, German Cancer

Research Center, Heidelberg, Germany

12.4-3: Interactive Reconstruction of Treelike Structures Using Free-Form Surfaces 0043

R, Ebel and J. Scqueira, IBM Paris Scientific Center, France

12.4-4: Automatic Images Superposition in Myocardial TL-201 SPECT 0045

J.-C. Cauvin, J.-Y. Boire, J. Maublant, J.-M. Bonny, M. Zanca, V. Bousquet* and A. Veyre, Centre Jean

Perrin, ERIM-INSERM, Clermont-Ferrand, *Sopha Medical, Buc, France

12.4-5: An Acoustic Impedance Reconstruction System 0047

W. Qi and J. Bai, Dept. of Elecrical Engr., Tsinghua University, Beijing, P.R. China

Session 5. Tomography for Various Energies

12.5-1: Computerized Modelling of Photon Migration in Tissue 0049

C. Yce and G.T. Herman, Dept. of Radiology, University of Pennsylvania, Philadelphia, PA

12.5-2: Application of the Projection Theorem in Biomagnetic Computed Tomography 0051

M.G. Meyer, C. Ramon, A.C. Nelson, F.A. Spelman and J. Lamping, Dept. of Electrical Engineering, Universityof Washington, Seattle, WA

12.5-3: Measurement of Modulation Transfer Functions in Applied Potential Tomography 0053

J.P. Morucci, Y. Shi and B. Rigaud, INSERM, Research and Industrial Transfer in Bioengineering, Toulouse,France

12.5-4: Application of Phase-Insensitive Detection to Time-of-Flight Computer TomographyH. Song, R.M. Schmitt, P. Stahlln, T. Klein and K.J. Langenberg*, Fraunhofer-Institute, Biomedical Engr.

Dept., St. Ingbert, *GH-Kassel, Dept. Electrical Engr., Kassel, Germany

12.5-5: Advances in Processing of Physical Problems Associated with Acquired Information in Nuclear 0058

Medicine

R.B. Younes, J. Mas, A. Pousse and R. Bidet, Biophysics Lab., Medicine University, Besancon, France

Track 20: Magnetic Resonance ImagingSession 1. MRI: 3D Image Segmentation

20.1-1: MRI Segmentation Using Supervised and Unsupervised Methods 0060

A.M. Bensaid, L.O. Hall, L.P. Clarke* and R.P. Velthuizen*, Dept. of Computer Science & Engineering, *Dept.of Radiology, University of South Florida, Tampa, FL

20.1-2: Multispectral Tissue Characterization in Magnetic Resonance Imaging Using Bayesian 0062

Estimation and Markov Random Fields

M. Goldbach, W. Menhardt* and J. Stevens, Playfair Neurosciences Unit, Toronto Hospital, *ISG Technologies,

Mississauga, Ont.

1 -xiii


20.1-3: A Computer Environment for 2D and 3D Quantitation of MR Images Using Neural Networks 0064

B.M. Dawant, M. Ozkan*, A. Zijdenbos and R. Margolin**, Dept. of Elect. Engin,, *Dept. of Neurosurgery,**Dept. of Psychiatry and Radiology, Vanderbilt University, Nashville, TN

20.1-4: Tissue Labelling of MRI Using Recurrent Artifical Neural Networks 0066

J.W. Snell and M.B. Merickel, Dept. of Biomedical Engr., University of Virginia, Charlottesville, VA

20.1-5: A Novel Method for 3-D Segmentation and Volume Estimation of Brain Compartments from 0068

MRI

J.M. Agris, R. deFigueiredo*, G.R. Hillman** and T.A. Kent***, OACB, **

Pharmacology,***

Neurology,University of Texas Med. Branch, Galveston, TX, and * Elec. & Comp. Engr., Univ. Cal., Irvine, CA

20.1-6: Segmentation of MR Brain Images 0071

J. Parkkinen, G. Cohen*, M. Sonka** and N. Andreasen*, Univ. of Kuopio, Finland, *Univ. of Iowa, Iowa,**Czech Technical University, Czechoslovakia

Session 2. MRI: Dynamic and Microscopic Functional Measurements

20.2-1: Functional Brain Mapping Using Magnetic Resonance Imaging 0073

J.W. Bclliveau, Dept. of Radiology, Massachusetts General Hospital, and Harvard Medical School, Boston, MA

20.2-2: Hardware Requirements for Functional MRI 0075

R. Turner, Lab. of Cardiac Energetics, National Institutes of Health, Bethcsda, MD

20.2-3: A Stereotactic Apparatus for the Optimalisation of Brain NMR Micro Imaging in the Study of 0077

Multiple Sclerosis and Ischemia

R. Dommisse, M. Spanoghe, D. Lanens, J. Van Audekerke, A. Van der Linden and F. Van de Vyver, Dept. of

Organic Chemistry, Univ. of Antwerp, Antwerp, Belgium

20.2-4: Optimalization of NMR Micro Imaging (1.9T, 4.7T, 7.4T) of the Central Nervous System of an 0079

Animal Model for Multiple Sclerosis

R. Dommisse, D. Lanens, M. Spanoghe, J. Van Audekerke, A. Van der Linden, H. Gravenmade* and F. Van de

Vyver, Dept. of Org. Chemistry, Antwerp, Belgium, * Dept. of Neurology, Univ. of Groningen, The Netherlands

20.2-5: NMR Imaging of Normal and Regenerated Peripheral Nerves 0081

F.L.II. Gielen, K.S. Tamminga*, K. Nikolay*, P.D.L. Kuypers**, Dept. of Neurology, Erasmus Univ.,

Rotterdam, The Netherlands, *Univ. of Utrecht, Utrecht, The Netherlands,**Dcpt. of Reconstructive Surg.,Rotterdam, The Netherlands

Session 3. MRI: RF Coil Design and Field Mapping

20.3-1: Off-Axis Bl Field Evaluation: An Important Consideration When Determining Surface Coil 0083

NMR Sensitivity for Biological Tissues at High FrequenciesM.B. Smith and J.T. Martin, Dept. of Radiology, Cellular & Molecular Physiology, & Biological Chemistry, ThePenn. Slate University, Hershey, PA

20.3-2: Analyses of RF Coils in MRI by FD-TD 0085

W.L. Ko, Dept. of Electrical Engr., University of South Florida, Tampa, FL

20.3-3: A Surface-Fitting Approach to the Correction of Spatial Intensity Variations in MR Images 0087

A.P. Zijdenbos, B.M. Dawant and R. Margolin*, Dept. of Electrical Engineering, *Dept, of Psychiatry and

Radiology, Vanderbilt University, Nashville, TN

20.3-4: MR Image Non-Uniformity Correction Techniques 0089

D.T. Glennon, L.P. Clark*, R.P. Velthuizen* and M.L. Silbiger*, Dept of Electrical Engineering, *Dept. of

Radiology, University of South Florida, Tampa, FL

20.3-5: Region Specific SNR Gains by Fixed Phase Non-Quadrature Combination 0091

G.R. Duensing and J.R. Fitzsimmons, Dept. of Radiology, University of Florida, Gainesville, FL

20.3-6: Design of a "Bird Cage" Coil for NMR Imaging: Technical Aspects 0093

A. Hedjicdj, M. Nadi, A. Rouane, D. Kourtichc and G. Prieur, HEN Faculty of Science, Vandoeuvrc les Nancy,France

Session 4. MRI: Quantitative Cardiac Imaging

20.4-1: Cardiac Function Assessment from 3-D Tracking of Magnetically Tagged Myocardium 0095

Y.M. Ibrahim, M.P. Chwialkowski*, G.M. Templcton** and R.M. Peshock* Dept. of Elect. Engin., Univ. oi

Texas, Arlington, *Dept. of Radiology and "Physiology, Univ. ofTXS.W. Med. Ctr., Dallas, TX

20.4-2: New Applications of Mean Field Annealing to the Restoration of Medical Images 0097

Y.-S. Han and W.E. Snyder*, Dept. of Electrical and Computer Engin., NC Slate Univ., Raleigh, NC. *Dept. of

Radiology, Wake Forest Univ., Winston-Salem, NC

1 — xiv


20.4-3: Segmentation of Ventricles in Short Axis NMR Black Blood ImagesA. Apicella, C. Wood, M. NessAiver*. F. Hajjar and W. Masri, ViStar Development Group, *Clinical Science

Group, NMR Division, Picker International, Highland Heights, OH

20.4-4: Variance of Manually Traced Organ Boundaries from MRI Data

L. Wang, N. Bartelt and R. Patterson, Dept. of Physical Medicine & Rehabilitation, University of Minnesota,

Minneapolis, MN

20.4-5: Quantitative Analysis and Manipulation of ECG-Gated MR Imaging in a Mackintosh

Environment

J.S. Sperling, J.L. Kenzora* and M.W. Vannier, Mallinkrodt Institute of Radiology and *Div. of Cardiology,

Washington University Medical Center, St. Louis, MO

20.4-6: Contextual Classification of Multiple Anatomical Tissues in Tomographic ImagesM.E. Algorri, D.R. Haynor* and Y, Kim**, Ctr. for Bioengineering, *Dept. of Radiology, **Dept. of Electrical

Engr., University orWashington, Seattle, WA

Session 5. MRI/Mammography: Tissue Characterisation and Image Segmentation

20.5-1: Correlation of Quanitative MRI Parameters with Mammographic Pattern: Risk of Breast Cancer

M.J. Bronskill, M.J. Yaffe, N.F. Boyd*, C. Poon and J. Byng, Sunny-Brook Health Science Ctr., *The Ontario

Cancer Inst., The University of Toronto, Canada

20.5-2: The Automatic Segmentation of Breast Lesions from MR Images

D.M. Skyba and M.B. Merickel, Dept, of Biomedical Engr., University of Virginia, Charlottesville, VA

20.5-3: Fractal Description and Classification of Breast Tumors

X. Liu, G. Zhang and M.D. Fox, Dept. of Electrical and Systems Engineering, University of Connecticut,

Storrs, CT

20.5-4: Enhancement of Digitized Mammograms Using a Local Thresholding TechniqueK. Woods, L.P. Clarke and R. Velthuizen, Dept. of Computer Science & Engineering, University of South

Florida, Tampa, FL

Session 6. MRI Spectroscopy and Imaging Techniques

20.6-1: Localized Spectroscopy Employing Bl Gradients

M. Meyerand, and J. Gore*, Biomedical Engineering, Univ. of North Carolina, Chapel Hill, NC, * Dept. of

Diagnostic Radiology, Yale University, New Haven, CT

20.6-2: Image Contrast in Gradient and Spin-Echo MRI as a Function of Field StrengthS. Vinltski, D, G. Mitchell, R. H. Griffey*. H. V. Ortega, F, Mohamed, and M. D. Rifkin, Dept. or Radiology,

Thomas Jefferson Medical College, Philadelphia, PA,* Baylor Univ. Med. Ctr., Dallas, TX

20.6-3: Refinement of Tissue Clusters in MR Images Using Spatial Information

T.R. Jackson and M.B. Merickel, Dept. of Biomedical Engineering, University of Virginia, Charlottesville, VA

20.6-4: Contrast Optimization Technique for Multi-Planar Magnetic Resonance Images of the Brain

M.P. Chwialkowski, F.P. Leland*, R.W. Parkey** and R.M. Peshock**, Dept. otElect. Engin., Univ. of Texas,

Arlington, *Mobil Res. & Dev Corp., Res. Lab., Dallas, **Dept. of Radiology, Univ. of Texas SWMC, TX

20.6-5: In-Vivo Measurement of Human Ciliary Muscle and Lens Response Using Magnetic Resonance

ImagingS.A. Strenk, J.L. Semmlow and R.S. Mezrich, Dept. of Biomedical Eng., Rutgers University, Piscataway, NJ

20.6-6: A Quantitative Evaluation of DFT Matching Used to Introduce Constraints into Alternative MRI

Reconstruction AlgorithmsM.R. Smith and A. Crawley*, Dept. of Electrical & Computer Engr., *Dept. of Radiology, University of Calgary,

Alberta, Canada

Track 22: Medical Ultrasound

Session 1. Ultrasonic Imaging

22.1-1: Deformable Structures from 2D Echocardiographic Images

M. Neveu, D. Faudot*, A. Dipanda* and L. Dusserre, Lab. d'lnformatlque Medicale, CHRU Le Socage, Dijon,

France, *Lab. d'lnformatlque des Structures de Donnees, Univ. de Bourgogne, Dijon, France

22.1-2: A New Method to Measure Local Vibrations in a Heart Using Ultrasound

H. Kanai, K. Hirose, H. Sato and N. Chubachi, Dept, or Electrical Engr., Tohoku University, Sendai, Japan

22.1-3: A System for High Resolution Ultrasonic Breast Imaging

G.E. Trahey, L.F. Nock, P.D. Freiburger and D.C. Kaelber, Dept. or Biomedical Engr., Duke University,

Durham, NC

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22.1-4: A New 3-Dimensional Ultrasonic Imaging System 0136

K. Chihara and K. Shirae, Faculty of Engineering Science, Osaka University, Osaka, Japan

22.1-5: Anthropomorphic Cardiac Ultrasound Phantom with Coronary Arteries 0138

S.W. Smith, T.M. Miller, and J. Kisslo*. Dept. of Biomedical Engr., Duke Unive., Durham, NC* Dept. of

Medicine, Duke Univ. Med. Cir., Durham, NC

22.1-6: Refractional Geometric Distortion and its Correction of B-Mode Ultrasonic Imaging 0140

P. Wu, C. Zhang, C. Tang*, C. Xiao and J. Cheng, Dept. of Informat. & Control Engr., Xi'an Jiaotong

University, P.R. China, *Xi'an Electric Power Central Hospital, Xi'an, P.R. China

Session 2. Doppler Ultrasound I

22.2-1: Advances in Spectral-Analysis-Based Ultrasound Pulsed Doppler System 0142

P. Torloli, G. Guidi, F. Valglmigli and C. Atzeni, Electronic Engr. Dept., University of Florence, Italy

22.2-2: Comparison of Mean Frequency and Variance Time-Domain Estimation for Color Doppler 0144

ImagingS. Dessi, L. Masottl and S. Roccht, Dipt, dl Ingcgncria Elettronlca, Firenzc, Italy

22.2-3: 3-D Ultrasound Angiograms from Color Flow Mapping Images 0146

J. Goddard. N. Yoshikawa*, T. Sato*, M. Kataguchi*. I. Sato*, and Y. Okamoto*, Mercury Computer SystemsInc., Lowell, MA, * Toshiba Medical Engr. Center, Tochigi-kcn, Japan

22.2-4: Complex Autoregressive Modelling of the Cardiac Doppler Signal 0148

Z. Guo, L.-G. Durand, L. Allard, G. Cloulicr, H. C. Lee*, and E. Langlois**, Clin. Res. Inst, de Montreal,

Canada. * Dept. of Elec, Engr., McGill, Univ., Montreal, ** Hotel-Dieu de Montreal, Canada

22.2-5: A Non-Invasive Ultrasound Transit Time Flowmeter 0150

R. Balasubramanian and M.D. Fox, Electrical and Systems Engr. Dept., University of Connecticut, Storrs, CT

22.2-6: Determination of Spectral Broadening Index of Pulsed Doppler Blood Flow Signals 0152

N.F. Guler and K. Guney, Dept. of Electronic Engr., Erciyes Univ., Kayseri, Turkey

Session 3. Ultrasonic Blood/Vessel Imaging

22.3-1: Platelet Aggregation Detected by Ultrasound 0154

J.R.P. Valdelglesias and J.C. Machado, Biomedical Engr. Dept., COPPE UFRJ, Rio de Janeiro, Brazil

22.3-2: An Ultrasonic Method for Assaying Blood Fibrinogen 0156

K.K. Shung and P. Lam, Bioengineering Program, Pennsylvania State University, University Park, PA

22.3-3: Automatic Analysis and Interpretation of Intracavitary Contrast Echocardiograms 0158

S. Zhang, J.P. Marques de Sa, M. Guerrelro*, C. Abreu-Lima*, Faculty of Engineering, *Faculty of Medicine,

University of Oporto, Portugal

22.3-4: Ultrasonic Measurement of Vessel Compliance 0160

P.C. Pedersen and J.C. Berrios, Dept. of Electrical Engineering, Worcester Polytechnic Institute, Worcester, MA

22.3-5: Color Doppler Ultrasound Imaging of Simulated Heart Valve Regurgitant Jets: Correction of 0163

Aliasing by Theoretical ModelingS.F.C. Stewart, Hydrodynamics and Acoustics Branch, CDRH, Rockville, MD

Session 4. Ultrasonic Tissue Characterization

22.4-1: Ultrasound Tissue Charaterization Using Artifical Neural Networks 0165

N. Botros and T.H. Tee, Dept. of Electrical Engineering, Southern Illinois University, Carbondale, IL

22.4-2: Swept Frequency Technique for Classification of the Scatterer Structure 0167

V. Genis, I. Oboznenko*, J.M. Reid and P. Lewin, Drexel University, Philadelphia, PA, *Kiev PolytechnlcalInstitute, USSR

22.4-3: Application of A New Contrast-Detail Phantom for Ultrasound 0169

T.J. Hall, M.F. Insana, N.M. Soller and S.J. Rosenthal, Dept. of Diagnostic Radiology, University of Kansas

Medical Center, Kansas City, Kansas

22.4-4: Automatic Prostate Carcinoma Detection by the Use of Tissue Characterisation 0171

H. Wijkstra, R.J.B. Giesen, A.L. Huynen, R. Laduc and F.M.J. Debruync, Dept. of Urology, Biomedical Engr.,

University Hospital Nijmegcn, Nijmegen, The Netherlands

22.4-5: Scatterer Number Density Estimation for Bimodal Medium 0173

P. He and M. Mayse, Dept. of Biomedical and Human Factors Engin., Wright Slate University, Dayton, Oil

1 —xvi


22.4-6: Measurement of Sound Speed by Extracting the Time Delay, Using Miniprobe TransducerS.H. Wang, K. Soetanto*. J.M. Reid*, X.M. Lu, H. Oung, L. Weng, V. Genis, R. Raghavan and W. Qiao,Biomedical Engin. and Sci. Inst., Drexel Univ., *Dept. or Radiology, Thomas Jefferson Univ. Philadelphia, PA

Session 5. Ultrasonic Therapy/Hyperthermia

22.5-1: Evaluation of Tumor Ablation with Focused Ultrasound in the Treatment of Dunning Tumors

J.Y. Chapelon, J. Margonari*, D. Cathignol and A. Gelet*, INSERM U281, INSERM U80, Herriot E. Hospital,Lyon, France

22.5-2: Temperature Distribution in Interstitial Ultrasonic HyperthermiaB.J. Jarosz, Dept. of Physics, Carleton University, Ottawa, Canada

22.5-3: Analysis of Hyperthermia Treatments: Single Vs. Multi-Element ApplicatorsT.P. Ryan, T.A. Colacchio, E.B. Douple, CT. Coughlin and A. Hartov, Thayer School ot Engin., Dartmouth

College and Dartmouth Med. School, Hanover, NH

22.5-4: Temperature Field Reconstruction in HyperthermiaW.H. Newman, H.F. Bowman, M.G. Curley*, S.C. Summit*, G.K. Svensson** J. Hansen**, E.C. Burdette***

and S.A. Goss***, Harvard-MIT, *ThermaI Tech., **Dana-Farber Cancer Inst., ***LabThermics Tech.

22.5-5: Transient Cavitation Based Ultrasonic Lithotriptor Positioning SystemE. Hausler, V, Rech and M. Wache, Dept. or Electrical Engr., Saarland University, Saarbrucken, Germany

22.5-6: A Personal View Regarding Computational Methods for Focalised Ultrasonic Transducers

M. Savu, Romanian Society lor Clinical Engr. & Medical Computing, Bucharest, Romania

Session 6. Doppler Ultrasound II

22.6-1: Modeling of Blood Flow Transmission in Lower Limb Arteries Using Doppler Signals and

Transfer Function

L. Allard, L.-G. Durand, G.A. Jamous, G. O. Roederer*, and Y. E. Langlois*, Inst, de Recherches Cliniques de

Montreal, Montreal, Canada, *

Hopital Hotcl-Dieu de Montreal, Canada

22.6-2: Echocardiographic Assessment of Heart Valve Regurgitant Flow Using the Flow ConvergenceMethod

D. Loyd, S.A. Barclay*, X. Changsheng*, G.Andersson, P. Ask** and B. Wranne*, Dept. ot AppliedThermodynamics & Fluid Mechanics, *Clinic. Physiology, **Biomedical Engr., Linkoping University, Sweden

22.6-3: Flow Direction Determination Using the Transverse Doppler SpectrumK.S. Dickerson, V.L. Newhouse and V. Mariotti*. Drexel University, Philadelphia, PA, *Universlty ot Florence,

Italy

22.6-4: A Computer Simulation of the Beam Non-Uniformity Effects on the Backscattered Power from

Blood

Q. Ma, SpaceLabs, Inc., Redmond, WA

22.6-5: Velocity Profile in the Normal Human Blood Vessel: A Comparison Between Theoretical

Results and in Vivo Data

Q. Ma and J. Gattinella, SpaceLabs, Inc., Redmond, WA

22.6-6: An Ultrasonic Measure System in Cerebral Blood Flow Dynamics Analysis Instrument

J. Wang, J. Wang, P. Wu and J. Cheng, Information & Control Engr., Xi'an Jiaotong University, Xi'an, P.R.

China

0175

0177

0179

0181

0183

0185

0187

0189

0191

0193

0195

0197

0199

Track 27: Positron Emission Tomography (PET)Session 2. Position Emission Tomography II: Image Reconstruction Techniques

27.2-1:

27.2-2:

27.2-3:

27.2-4:

Comparison of Algorithms for Data Reprojection in Emission Computed TomographyC.E. Ordonez, Dept. of Radiology, University of Chicago, Chicago, 1L

Reprojection for Locating and Correcting Sinogram Errors in Computed Tomography

S.-C. Huang and D.-C, Yu, Dept. of Radiological Sciences, Div. of Nuclear Medicine and Biophysics, UCLA

School ol Medicine, Los Angeles, CA

Slice-Weighted Treatment of Axial Data in Volumetric PET ImagingC.E. Ordonez, Dept. ol Radiology, The University or Chicago, Chicago IL

Improvements of Bayesian Reconstruction in Positron Emission TomographyX. Hu, C.-T. Chen*, X. Ouyang* and W.H. Wong**, Dept. ol Radiology, University ot Minnesota, Minneapolis,

MN, *Dept. ot Radiology & **Statistics, University ot Chicago, Chicago, IL

0201

0203

0204

0206

1-xvii

Table of Contents embs 199

27.2-5: Performance of Maximum Likelihood Iterative Image Reconstruction for Quantitive Imaging 0208

S.C. Strother and J.-S. Liow, Dept. of Radiology, University or Minnesota and PET Imaging Section, VA

Medical Center, Minneapolis, MN

27.2-6: Multimodality Image Analysis and Display Methods for Improved Tumor Localization in 0210

Stereotactic NeurosurgeryK.R. Smith, K. Joarder, R.D. Bucholz* and K.R. Smith*, Southern Illinois University, Edwardsville, *St. Louis

University of Medical Center

Session 3. Position Emission Tomography I: Instrumentation

27.3-1: Scanalyzer: A Unix Based Work Station for PET Parametric Imaging 0211

V. Dhawan, P. Spetslerls, S. Taktkawa, D. Margouleff and D. Etdelberg, North Shore University Hospital,Cornell University Medical College, Manhasset, NY

27.3-2: Modeling a PET Scanner 0213

S. Pavlopoulos and G. Tzanakos*, Biomedical Engin. Dept., Rutgers Univ., I'iscalaway, NJ, and *Dept. oi'

Physics, Univ. or Athens, Athens, Greece

27.3-3: Simulation of Signal Recovery in PET Studies of Cerebral Physiology and Biochemistry 0215

G.D. Hutchlns, Dept. or Internal Medicine, University ol" Michigan Medical Center, Ann Arbor, MI

Session 4. Position Emission Tomography III: Multimodality Imaging

27.4-1: Three-Dimensional Registration of Magnetic Resonance (MR) and Positron Emission 0217

Tomography (PET) ImagesN.D. Gershon, Center for Civil Systems, The MITRE Corporation, McLean, VA

27.4-2: Multimodality Biomedical Image Integration: Use of a Cross-Correlation Technique 0219

G. Rizzo, P. Pasquali*. M.C. Gilardi**. S. Cerutli***, V. Bcttlnardi, G, Luclgnani**, G. Scotlt and F. Fazio**,

Inst. H.S. Rarraele, *Polytech. Univ., **ITBACNR, Milan, Italy,***Univ. "La Sapienza", Rome, Italy

27.4-3: Comparison of Two Methods for 3D Registration of PET and MRI Images 0221

C.A. Pelizzari, A.C. Evans*, P. Neclln*. C.-T. Chen**, and S. Marrctt*, Dept. of Radiation & Cellular Oncology,** Dept. of Radiology, U. of Chicago, Chicago, IL,* McGill Univ., Montreal, Canada

27.4-4: Combined Stereotactic Mapping of MRI and PET Studies of Cognitive Activation in Human 0224

Brain

A.C. Evans, P. Neelln, S. Marretl, E, Meyer, W. Dai and L. Collins, McConnell Brain Imaging Centre, Montreal

Neurological Institute, Montreal Quebec, Canada

27.4-5: Error Analysis of 3-D Registration of Brain MR and PET Images Using the Interhemispheric 0227

Fissure

I. Kapouleas, Medical Image Processing Group, DcpL. of Radiology, Univ. of Pennsylvania, Philadelphia, PA

Track 28: Physiological ImagingSession 1. Cardiac Imaging

28.1-1: A Fast Morphological Filter for Enhancement of Angiographic Images 0229

C.C. Huang. C.C. Li, N. Fan, B.G, Denys and P.S. Reddy. Dept. or Electrical Engin., & Medicine, University or

Pittsburgh, Pittsburgh, PA

28.1-2: The Hartley Series Applied to the Computation of Functional Angiographic Images 0231

L. Legrand, II. Dtebold, A.J. Tosser* and L. Dusserre, Lab. d'Inform. Medicalc, Hopltal du Bocage, Dijon,*ENIM, Metz, France

28.1-3: Anisotropic Diffusion Technique for 2-D Echocardiography Image Processing 0233

C. Lamberti, F. Sgallari* and G. Venturelli, Dipt, di Eleltronica, Informatica e Sistemisllca, *Dipl. di

Matemalica, Untversita di Bologna, Bologna, Italy

28.1-4: Left Ventricle Wall Motion Analysis During Various Phases of Cardiac Cycle from 2D- 023B

Echocardiographic ImagesG. Ramachandran, M. Singh and K. Nityanandan, Biomedical Engr. Div. Indian Institute of Technology,Madras, India

28.1-5: Elimination of Interpolation Related Artifacts in Nuclear Cardiology Images 0237

K.C, Acharya, S.F. Croteau, R.P. Grcnier* and L.J. Johnson**, Dept. ol Elect. Engin. and C.E., Milwaukee

Sch. or Engin., Milwaukee, WI, *Scinticor Inc., **Sterllng Computer Syslems Inc., Brookfiekl, WI

28.1-6: Analysis of Gaussian Beam B-Mode Images and Comparison with Non-Gaussian Modalities 0239

M. Fateml and R. Ahanesslans*. Iran. Res. Org., *EE Dept., Tehran University, Iran

1 — xviii


Session 2. Imaging Devices and Techniques

28.2-1: Imaging Objects in a Turbid Medium with a Redundant Aperture 0241

W. Cui, L.E. Ostrander* and N. Wang**, The BOC Group, Murray Hill, NJ, *Dept. of Biomedical Engin., R.P.I..

Troy, NY, **Dept. of Biophy & Biochem., Univ. of Pennsylvania, Philadelphia, PA

28.2-2: A Large Area CCD Camera for Mammographic Image Acquisition 0243

F. Aghdasi and B. Palclc, British Columbia Cancer Research Center, Vancouver, Canada

28.2-3: Numerical Characterization of Feature Directionality in Digital Images: Application to Laser 0245

Scanning Confocal MicroscopyS. Denslow, Z. Zhang, R.P. Thompson* and C.F. Lam, Dept. of Blostatistics, Epidemiology & Systems Sci.,

*Dept. ofAnatomy & Cell Biology, Medical Univ. of South Carolina, Charleston, SC

28.2-4: Digital Image Processing of Paper Chromatography in the Early Detection of Aminoacid 0247

PathologiesL.P. Gomez, A. Casas, J.R. Alonso*, J.M. Lopez, Dpto. de Electronica, Universidad de Santiago de Compostela,Spain, * and Dpto. de Pediatrla, Universidad de Santiago de Compostela, Spain

28.2-5: A Novel Isotropic Edge Detector 0249

E.M. Mazorra and E.M. Stokely, Dept. of Biomedical Engr,, University of Alabama at Birmingham,Birmingham, AL

28.2-6: Morphological Filters and Edge Detection Application to Medical Imaging 0251

J. Peng, Ph. Rusch, T. Herrmann, P.P. Levy, M. Voutay, A. Elboustini, and J.C. Healy, Facultc de Mcdecine,

Lab. de Biophyslque et Informatique Medicale, Universite Jean Monnet, St. Etienne, France

Session 3. Segmentation and Classification

28.3-1: Image Segmentation: Errors, Sensitivity, and Uncertainty 0253

S. Dcllcplane, Dept. of Biophysical and Electronic Engr., University orGenova, Italy

28.3-2: A Concept of Evaluation of Shape and Cell*s Texture by Space Vectors Positions 0255

A. Houri, L. Fongang and A. Bijaoui, Lab. ORL/GBM, Universite de Nice Sophia Antipolis, Nice, France

28.3-3: Feature Extraction and Recognition for the Analysis of Textured Cell Images 0258

F. Hallouchc, A.E. Adams and O.R. Hinton, Dept. of Electrical and Electronic Engr., University of Newcastle

upon Tyne, UK

28.3-4: Image Segmentation and Classification Methods to Detect Leukemias 0260

S. Serboutl, A. Duhamel, H. Harms, U. Gunzer, H.M. Aus, J.-Y. Mary, and R. Beuscart, CERIM, Faculte de

Medecine, Lille, France

28.3-5: Quantitative Analysis in Macroscopic Autoradiography: Segmentation Aspects 0262

J.-M. Bonny, M. Zanca, J.-C. Cauvin, J.-Y. Boire and A. Veyre, ERIM-INSERM, Fac. of Medicine, Clermont-

Ferrand, France

28.3-6: Exploitation of Contour Information From Multi-Echo MR Slices 2399

A. Di Guiliani, G. Venturi, and S. Dellepiane, Department of Biophysical and Electronic Engineering, I

University Genoa, Genoa, Italy

Session 4. Ocular Imaging

28.4-1: Modeling of High Resolution Digital Retinal Imaging 0264

A.V. Cideciyan*, J.H. Nagel* and S.G. Jacobson, Dept. of Ophthalmology, Bascom Palmer Eye Institute, *Dept.

of Biomedical Engin., University of Miami, Miami, FL

28.4-2: Multi-Scale Segmentation of Retinal Images 0267

A.V. Cideciyan*,**, S.G. Jacobson* and J.II. Nagel**, *Depl. of Ophthalmology, Bascon Palmer Eye Inst.,

**Dept. or Biomedical Engin. University ot Miami, Miami, FL

28.4-3: Estimation of Nerve Fiber Loss from Digitized Retinal Images 0269

S.L. Wood, CT. Liang and L.W. RolofT*, Electrical Engin. Dept., Santa Clara University, Santa Clara, CA,

Dept. ot Opthalmology, Stanford Univ. Medical Center, Stanford, CA

28.4-4: Automated Image Analysis of Fundus Photographs for Mass Health Sceenings 0271

Y. Nakamura, K. Mochizuki*, S.P. Ninomija*, F. Yano** and H. Aral*** Hosp. Infer. Div., Toranomon Hosp.,

Tokyo,*

Aoyama Gakuin Univ., **Obirin Coll., Kanagawa,***Yamagata Univ. Sch. of Med., Yamagata, Japan

28.4-5: Algorithm for Automatic Analysis of Corneal Endothelial Images 0273

J.J.-H. Yu, M.-M. Hsieh, J.-L. Su and B.-N. Hung, Dept. of Biomedical Engineering, Chung Yuan Christian

University, Chungli, Taiwan

1 — xix


Session 5. Bulk Flow/Diffusion/Transport

28.5-1: The Radiology of AstrocytomasR. Clasen, Dept. of Pathology, Rush-Presbyterian-St. Luke's Medical Center, Chicago, IL

28.5-2: Quantitative Measurement of the Velocity of Bulk Flow of Albumin in Brain Subjected to a

Freeze Lesion

J.A. Goyette, G.D. Lapin, D.R. Groothuis, K.E. Schlageter and N. Paleologos, Dept. of Electrical Engineering,

Biomedical Engin., Neurology & Inst, for Neuroscience, Northwestern Univ., Evanslon, IL

28.5-3: Early Changes in Diffusion and Perfusion Following Cerebral Ischemia

M.E. Moseley, H. Asgari, J. Mintorovilch and J. Kucharczyk, Dept. ot Radiology, University ol' California, San

Francisco, CA

28.5-4: Real-Time Assessment of Lung Microvascular Permeability: Use of a C02 Laser Aids

Measurement of 1,2-Propanediol Concentration

L.E. Olson, R.L. Galloway* and T.R.Harris**, Depl. of Biomedical Engr. and *Center for Lung Research,

**Dept. of Neurosurgery, Vanderbilt University, Nashville, TN

28.5-5: The Necessity of Image Registration for Dynamic CT Studies

G.D. Lapln and D.R. Groothuis, Dept. of Neurology & Biomedical Eng., Northwestern University and Evanslon

Hospital, Evanston, IL

0276

0277

0279

0281

0283

Session 6. 3-D Visualization Techniques

28.6-1: Visualization of Multi-Dimensional Structures in Positron Emission Tomography (PET)

N.D. Gershon, Center for Civil Systems, The MITRE Corporation, McLean, VA

28.6-2: Detection and Tracking of the LV Endocardial Surface from 3D Image Sequences

J. Duncan, L. Staib and A. Amini, Dept. of Diagnostic Radiology and Electrical Engineering, Yale University,

New Haven, CT

28.6-3: Three-Dimensional Imaging in Medicine: Surgical Planning and Simulation of Craniofacial

SurgeryD.E. Altobelli, R. Kikinis*. J.B. Mulllkcn, II. Clinc**, W. Lorensen* and F. Jolcsz*, Chlldrens Hospital,

Boston, MA, * Brigham and Women's Hosp. Boston, MA, ** GE Schenectady, NY

28.6-4: Shape-Based Interpolation Using Modified Cubic SplinesG.T. Herman CA. Bucholtz and J. Zheng, Depl. of Radiology, University of Pennsylvania, Philadelphia, PA

28.6-5: 3-D Registration of Intermodality Medical ImagesG. Zubal, H. Tagare, L. Zhang and J. Duncan, Depl, of Diagnostic Radiology and Electrical Engineering, Yale

University, New Haven, CT

28.6-6: Dynamic Segmentation: Detecting Complex Topology 3D-Object

F. Leitner and P. Cinquin, TIMB-TIM3-IMAG, Faculte de Medecine, La Tranche, France

0285

0287

0289

0291

0293

0295

Session 7. 3D Reconstruction for Neurologic Applications

28.7-1: Automated Segmentation of 3-D Magnetic Resonance Images of the Head

W.T. Katz and M.B. Merickel, Dept. of Biomedical Engr., University of Virginia, Charlollesville, VA

28.7-2: Simulated Annealing for Treatment Plan Optimization in Stereotactic Interstitial

BrachytherapyV.R. Mandava, R.J. Maciunas, J.M, Fitzpalrick, T.S. Chen and D. Eisert, Vanderbilt University, Nashville, TN

28.7-3: A Quantitative Method to Study the Orientation and 3-Dimensional (3-D) Anatomy of Layers in

the Inferior Colliculus (IC).

S. Ahghari, D.L. Oliver and T.-L. Ju, Dept. ol Electrical and System Engineering and Anatomy, UCONN Health

Center, Farminglon, CT

28.7-4: The Potential Use of MRI Guidance for Computerized Surgical Procedures

R. Kikinis, F. A. Jolesz, H. E. Clinc*, W. E. Lorensen*, and G. Gerig**, Dept. or Radiology, Harvard Medical

School, Boston, MA, * GE Corp., Schenectcdy, NY, ** ETH-Zenlrum, Zurich, Switzerland

28.7-5: Computed Tomography and 3-D-Surface Reconstructions of the Spine in Patients with Lower

Back Pain

A. Kern, T. Waggershauser, and R. Felix, Radiologische Klinlk mil Polikinik, Freie Universitat Berlin, Berlin,

Germany

0297

0299

0301

0303

0305

1 —xx


Session 8. Blood Flow Imaging

28.8-1: Could Hemodynamic Analyses be Helpful in Predicting Blood Flow Signal Levels in MRI?

T.A. Tasciyan, R. Banerjee*, Y.I. Cho*, A. Flanders and M. Shapiro, Dept. of Radiology, Thomas Jefferson

Univ. Hospital, *Dept. of Mechanical Engineering, Drexel University, Philadelphia, PA

28.8-2: Blood Flow Imaging Using Electrical Impedance TomographyB.H. Brown, A. Leathard, A. Sinton, F.J. McArdle, R.W.M. Smith* and D.C. Barber, Dept. of Medical Physicsand Clinical Engin., Univ. or Sheffield, Royal Hallamshire Hospital, Sheffield, UK

28.8-3: Application of the Hypoxic Model in Estimation of Cerebral Blood Flow by ElectrochemicallyGenerated HydrogenY.S. Zagvazdin, M. Bodo*, Sechenov Institute ol Evolutionary Physiology & Biochem., Academy of Sciences of

USSR, USSR, *ChemicaI Works orGedeon Richter Ltd., Budapest, Hungary

28.8-4: Erythrocyte Image Velocimetry and Its Application to Analyze the Effect of Hematocrit on

Velocity Distribution in CapillariesB. Prakash, G. Ramachandran and M. Singh, Biomedical Engr. Div., Indian Institute ot Technology, Madras,

India

28.8-5: Application of Compartmental Analysis in Liver Blood Flow Measurements Using Xe-133J. Heikkonen and M. Mantyla, Dept. ol Radiotherapy and Oncology, Helsinki Univ. Cent. Hospital, Helsinki,

Finland

28.8-6: Investigation of the Blood Flow Distribution in Qigong State by the Method of Nuclear

Medicine

Z. Lu, D. Chen*, Z. Pan* and Y. Lai*, Institute or High Energy Physics Academia Slnica, *Dept. or Nuclear

Medicine, FirsL Affiliated Hosp. of Beijing Medical University, P.R. China

Session 9. Thermal Imaging

28.9-1: Burn Wound Evaluation by Infrared ImagingM.M. Palel, P. Engler, W.F. Kosonocky, and H. Mansour*, New Jersey Inst, of Techology, NJ, * St. Barnabas

Medical Center, NJ

28.9-2: Application of Infrared Imaging in RadiotherapyM.M. Patel, P. Engler, W.F. Kosonocky, K.D. Steidley* and R. Eastman* New Jersey Institute of Technology,

NJ, * St. Barnabas Medical Center, NJ

28.9-3: The Dartmouth Electrical Impedance Tomography System for Thermal ImagingT.P. Ryan*, M.J. Moskowitz and K.D. Paulsen, Thayer School of Engin. Dartmouth Coll., Hanover, NH, *Dept.of Medicine and Surgery, Dartmouth Medical Sch., Hanover, NH

28.9-4: A Combined Invasive-Noninvasive Conductivity Profile Reconstruction Approach for Thermal

Imaging in HyperthermiaK.D. Paulsen, M.J. Moskowitz and T.P. Ryan*, Thayer Sch. or Engin., Dartmouth College, Dartmouth-

Hitchcock Medical Center, Hanover, NH

28.9-5: Temperature Measurements Using US Tomography: Theoretical AspectsD. Kourtiche, M. Nadl, G. Kontaxakis*, C. Marchal** and G. Prieur, LIEN Fac. or Sci., Vandoeuvre les Nancy,

France, *National Tech. Univ., Athens, Greece, **Nancy Cancer Ctr., Vandoeuvre, France

0306

0307

0309

0311

0313

0315

0316

0318

0321

0323

0325

Track 3: Bioengineering in DentistrySession 1. Cephalometrics

3.1-1: Three Dimensional Analysis of Jaw Movement During Free ChewingF. Rossi, N.A. Borghese* and A. Pedoltt, Centra dl Bioingegneria, Politecnico di Milano, *Centro Bioingegneriaand I.F.C.N.-C.N.R., Milano, llaly

3.1-2: Chewing Movements Correlated with Electromyographic Activity in Normals and Patients

C. de Rysky and G. Magenes*, Clinic Odontoialrica, University or Pavia, Italy, *Dip. di Informatica e

Sistemistica, University or Pavia, Italy

3.1-3: Two Persistent Technical Problems in the Realtime Analysis of Mandibular Motion

S. Baumrind and S, Curry*, UC San Francisco, *HMS Limited, Berkeley, CA

3.1-4: Reliability of Cephalometric Landmark Location Directly Upon a Computer Monitor

B. Baker, S, Baumrind, A. Liu, S. Curry*, UC San Francisco, Grad. Program Bioengineering, *HMS Limled,

Berkeley, CA

3.1-5: Graphic Display of Craniofacial X-Ray Data Overlaid on Digital ImagesB. Baker, A. Liu, S. Baumrind, Graduate Program Bioengineering, UC Berkeley, UC San Francisco

0327

0330

0332

0333

0334

1 -xxi


Session 2. Expert Systems and Automation

3.2-1: Comparison of Three Different Expert Systems in Oral RadiologyP.F. van der Stelt and M.-B. Meyer, Dept. oi'Oral Radiology, Academic Center for Dentistry Amsterdam, The

Netherlands

3.2-2: Automatic Analysis of Landmarks in Cephalograms

K.-s. Cheng, Y.-t. Chen, and J.-k. Liu*, Inst, of Biomedical Engr,, National Cheng Kung Univ., Tainan,

Taiwan, *Dept. of Dentistry, National Cheng Kung Univ. Hospital, Tainan, Taiwan

3.2-3: Automated Landmark Detection on X-Ray CephalogramsB. Baker and S. Baumrind, Bioengineering Graduate Group, UC Berkeley, CA, UC San Francisco, CA

3.2-4: Reliability of Human Performance in Locating Landmarks on Analog and Digital Duplicate X-

Ray ImagesS. Baumrind, B. Baker, W. Hane*. and G. Nazareno, Bioengr. Graduate Group, *Dept. ol' Growth and

Developm., UC Berkeley, CA, UC San Francisco, CA

3.2-5: Comparison of Three Data Acquisition Techniques for 3-D Tooth Surface MappingE.D. Rekow, M.J. McCann*, A. Nussbaum, S. Madarasmi, and T.C. Pong*. Dept. ol'Orthodontics, Universityor Maryland, Baltimore, MD, * Dept. orEE and Computer Set.. Univ. of Minnesota, Minneapolis, MN

3.2-6: Mesh Refinement Effects in a Two-Dimensional Finite Element Model

M.C. Durkee, E.D. Rekow, and V.P. Thompson*, Depl. of Orthodontics and *l)ental Materials, Univ. of

Maryland Dental School, Baltimore, MD

Session 3. Radiograph Processing

3.3-1: A Dental Implant Treatment Planning Tool for Low-Cost Imaging Workstations

M.K. Jeffcoat, R.L. Jeffcoat*, and M.S. Reddy, Univ. ol'Alabama School or Dentistry,* Southern Research

Institute, Birmingham, AL

3.3-2: Feature Extraction for Biological ImagesJ. Ostuni, S. Dunn, and P. Meer. Dept. or Biomedical Engr. and Depl. ol'Electrical Engr., Rutgers University,

Piscataway, NJ

3.3-3: A Video Feedback Repositioning Method for Standardized Dental RadiographsM.S. Reddy, R.L. Webber, R. van den Berg, R, Wecms, F. van der Ven and M.K. Jeffcoat, University of Alabama

School of Dentistry, Birmingham, AL

3.3-4: Planning a Machine-Readable Multi-Institutional Craniofacial Image Archive

S. Baumrind, W.S. Hunter*, B. Baker, Bioengr. Graduate Group, UC Berkeley and San Francisco, CA, *Dept.of Orthodontics, Univ. of Western Ontario, Canada

Track 30: Processing of Biological SignalsSession 1. Signal Processing Processes

30.1-1: Interactive Software Package for Analysis of Short, Noisy and Nonequidistant Biologic Time

Series

A. Mojon, J.R. Fernandez, and R.C. Hermida, E.T.S.I.T., Univ, Vigo, Vigo, Spain

30.1-2: Combined Approach for Analysis and Prediction of Biologic Time Series with Non-EquidistantObservations

D. E. Ayala and R.C. Hermida, Bioengr. & Chronobiology Labs, E.T.S.I.T., Univ. Vigo, Vigo, Spain

30.1-3: Strategies for Intelligent Signal MonitoringS. Barro, R. Ruiz*, J. Presedo, and A.Bugarin, Dept. de Electronica, Univ. de Santiago, Spain, * Dept. de

Ingenieria Electromecanica, Univ. de Murcia, Spain

30.1-4: Estimation of Signal-to-Noise Ratio in Signals Contaminated by White Noise

P. Laguna, H. Rix*, R. Jane and P. Caminal, Instut de Cibernetica, Barcelona, Spain, *Lab. de Slgnaux el

Syslemes, Universite de Nice, Sophia Anllpolis, France

30.1-5: Adaptive Estimation of Event-Related Bioelectric Signals: Effect of Misalignment Errors

R, Jane, P. Laguna and P. Caminal, Institut de Cibernelica, Barcelona, Spain

30.1-6: New Concept of Signal Averaging in Time Domain

J. Leski, Institute of Electronics, Technical University of Silesia, Gllwlcc, Poland

Session 2. EOG

30.2-1: Ocular Tracking Responses to Pseudorandom Stimuli

C.S. Lessard and W.C. Wong, Bioengineering Program, I.E. Dept., Texas A&M University, College Station, TX

0335

0338

0340

0342

0344

0346

0348

0350

0352

0354

0356

0358

0360

0363

0365

0367

0369

1 — xxii


30.2-2: ERG-Biosignals Modeling and Adaptive Pattern Filtering 0371

P.A. Semyonov and S.A. Kondakov, Computer Instruments Div., "Eye Microsurgery" Research & TechnologyCenler, Moscow, USSR

30.2-3: Real-Time Measurement of Ocular Counterroll by Processing Video Images 0373

N. Yamada, S. Hasebe* and H. Ohtsuki*, Central Research Lab Mitsubishi Electric Corp., Hyogo, Japan, *

Dept. Ophthalmology, Okayama Univ. Medical School, Okayama, Japan

30.2-4: NASTASSIA, A Video-Based Image Processing System for Torsional Eye Movements Analysis 0375

N. Groleau, Man-Vehicle Laboratory, Massachusetts Institute of Technology, Cambridge, MA

30.2-5: A PC Based Method for Clinical Evaluation of Saccadic Eye Movements 0377

D. Zambarbieri, G. Beltrami and M. Versino*, Dip. di Informatica e Sistcmistica, Cllnlca Neurologlca, Univ. di

Pavia, Pavia, llaly, *

30.2-6: Noise Reduction in ENG Analysis 0379

Z. Guohong and L. Shuqlan*, Dept. of Electronic Engr, * Physics Dept., Zheng Zhou University, Zheng Zhou,

P.R. China

Session 3. Respiratory Sounds

30.3-1: Propagation Time Determination of Pulmonary Acoustic Transmission Using Phase Information 0381

G.R. Wodicka, P.D. DeFrain and A. Aquirre, Sch. ot Electrical Engin. and Hillenbrand Biomedical Engin. Ctr.,

Purdue University, West Lafayette, IN, Siemens Medical Elect. Corp., Danvers, MA

30.3-2: Effect of Highpass Filtering on the Original Waveform of Lung Sound Crackles 0383

P. Karp**, T. Katila, E. Paajanen, P. Piirila* and A. Sovijarvi***, Lab. of Blomed. Engr., *Inst. of OccupationalHealth, **Mcd. Engr. Ctr., ***Lung Fund. Lab., Helsinki Univ. Cenlral Hosp., Helsinki, Finland

30.3-3: Flow and Volume Related AR-Modelling of Lung Sounds 0385

J. Vanderschool and H.J.W. Schreur*, Medical Informatics, Univ. ot Leiden, *Dept. or Pulmonology, University

Hospital of Leiden, Leiden, The Netherlands

30.3-4: Change of Fractal Dimensions of Breathing Rate in Fetal Sheep 0387

Y. Noguchi and H. Hataoka, P. Cheng*, G. Dwyer*, and H. H. Szeto*, Dept. of Appl. Phys., Nat. Def. Academy,Yokosuka, Japan, * Dept. of Pharmacology, Cornell Univ. Med. College, New York, NY

Session 4. Vision

30.4-1: Classification of Visual Stimuli Using the P300 Evoked Response Potential 0390

R. Saunders and E. Rothenheber, CSC Analytics, Fairfax, VA

30.4-2: Formants of Visual Evoked Response as Signature of Photostimulation 0392

R. Alficri and E. Albuisson, Dept. ot Biomathematics, Faculty of Medicine, Clermont-Ferrand, France

30.4-3: Topographic Mapping the Visual Evoked Potential After Source Derivation 0395

S. del V. Carreno-Rimaudo and A.F.C. Infantosi, Biomedical Engr. Program, COPPE/UFRJ, Rio de Janeiro,

Brazil

30.4-4: Auditory and Visual Evoked Potentials: Topographic and Modality-Dependent Differences in 0397

the Frequency DomainM. Schurmann, C. Basar-Eroglu and E. Basar, Institute or Physiology, Medical University, Lubeck, Germany

30.4-5: A New Method for Analyzing Clinical Visual Evoked Potentials 0399

H. Duan, J. Zhong, W. Rao and W. Lu, Scientffic Instruments Dept., Zhejiang University, Hangzhou, P.R.

China

30.4-6: The Functional Brain States Band Model and the Dynamics of Sensory-Cognitive Evoked 0401

Potentials

J. Achimowlcz, Dept. or Medical Informatics, Polish Air Force Inst, or Aviation Medicine, Warsaw, Poland

Session 5. Evoked Potentials I

30.5-1: Merging EP and MRI Reference Frames to Map EP Fields on the Scalp 0403

R.M. Oguz, R. Srebro, and P.D. Purdy*, Dept or Ophthalmology,* Dept. of Radiology, Neurology and

Neurosurgery, Univ. of Texas Southwestern Medical Center, Dallas, TX

30.5-2: Estimation of the Complex Event-Related Magnetic Field 0405

M. Inlow, S. Makelg*. C. Pantev**, B. Schwartz***, C. Gallen**** and S. Hampson****, Geo-Centers, Inc., Ft.

Washington, MD,*Naval Research Ctr. San Diego, CA,**Unlv. of Munster, Germany,***BiomagneticTech.,Inc., San Diego, CA,****Scripps Clinic and Res. Foundation, La Jolla, CA

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30.5-3: The Evoked Potential Human-Computer Interface 0407

T.A. Skidmore and H.W. Hill Jr., Avionics Engin. Center, Dept. of Electrical and Computer Engineering, Oil

University, Athens, OH

30.5-4: Optimal Recognition of Neural Waveforms 0409

I.N. Bankman, K.O. Johnson* and W. Schneider, Applied Physics Lab., *Dept. of Neurosclence, The Johns

Hopkins University, Baltimore, MD

30.5-5: A Weighted Averaging Method for Evoked Potential Based on the Minimum Energy Principle 0411

Z. Fan and T. Wang*, Physiology Dept., *Biomedical Engr. Dept., First Military Medical University,

Guangzhou, China

30.5-6: High Performance Continuous and Simultaneous Acquisition and Disk Storage of Event 0413

Related Data

M.W. Losh, Naval Biodynamics Laboratory, New Orleans, LA

Session 6. Evoked Potentials II

30.6-1: Time-Varying Evoked Potentials: Monitoring and Signal Processing 0415

N.V. Thakor, CA. Vaz, G, Xin-rong, P. Poon, P. Laguna*, R. Jane*. P. Caminul* and II. Rlx**, The Johns

Hopkins Med. Sch., Baltimore, MD, *Insl. de Cibernelica. Spain, "Univ. tie Nice, France

30.6-2: Transient Modeling of the Evoked Potential 0417

J.L DePalma and J.I. Aunon, Dept. ol'Electrical Engr., Colorado State University, Ft. Collins, CO

30.6-3: Non-Linear Analysis of Sensory Evoked Potentials 0419

P.J.M. Cluitmans and J.E.W. Benckcn, Dlv. of Medical Electrical Engineering, Eindhoven University of

Technology, The Netherlands

30.6-4: The Dependent Error Regression Smoothing Approach for Semi-Parametric Evoked Potential 0421

Estimation

M.G. Schtmek, Medical Biometrics Group, University ol" Graz, Austria, Europe

30.6-5: Estimation of Event Related Potentials with GSVD 0423

T. Gansler, and M. Hansson, School of Electrical Engineering, University of Lund, Lund, Sweden

30.6-6: Estimation of Evoked Potentials by Using a Bandpass Filter Bank 0425

F. Sattar, B. Lovstrom, B. Mandcrsson*, and G. Salomonssou, School of Electrical Engr., Dept. of Telecom.

Theory*, Dept. of Communication Systems, Univ. of Lund, Lund Sweden

Session 7, Evoked Potentials III

30.7-1: Analysis of Skin Potential Response Using a Novel Feature Code for the Study of the Emotional 0427

ResponseA. Dittmar, G. Delhomme, R. Caterini* and E. Vernet-Maury*, Fac. de Medccine, Lab. de Thermoregulation,*CNRS, Lyon, France

30.7-2: Delay Time Between Vasodilator and Sudomotor Transient Reflexes in Assessment of Skin 0429

Sympathetic ActivityS. Pruna, C. ionescu-Tirgoviste and O. Asiminei, Electrophysiology & Biomedical Engr. Lab., Univ. Hospital"Dr. I. Cantacuzino," Bucharest, Romania

30.7-3: The Use of a One-Bit ADC in Average Evoked Potential Measurement Applications 0431

T. Cedholl, Dept. of Telecommunication Theory, University of Lund, Lund, Sweden

30.7-4: Pattern Classification of EEG Spectral Signatures During Anesthesia 0433

R.C. Watt, H. Samuelson, M.J, Navabi and K. Mylrea, Dept. ol Anesthesiology, University of Arizona, Tucson,

AZ

Session 8. EEG I

30.8-1: Spatio-Temporal Localization and Display of Focal Epileptic Activity from the 0435

Electrocorticogram (ECoG)

A.B. Barreto, J.C. Principe and S.A. Reid*, Dept. ol'Electrical Eng. Univ. ol" Florida, *Neuroscic'iice Institute.

Alachua General Hospital, Gainsville, FL

30.8-2: Cross Time-Frequency Representation of Electrocorticograms in Temporal Lobe Epilepsy 0437

H.P. Zaveri, W.J. Williams and J.C. Sackcllarcs*, Dept. ol'Elect. Engin, & Computer Science, *Dcpt. of

Neurology, University of Michigan, Ann Arbor, Ml

30.8-3: Multiscale EEG Mapping of Epileptic Events 0439

L. Senhadji, G. Carrault, J.J. Bellangcr, and J. P. Vignal*, Lab. Trailement du Signal ct d 1'Image. INSERM

U335, Universite de Renncs I, Rennes, France, * C1IRU, Rennes, France

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30.8-4: A Multistrategy Approach to Epileptic Focus Localization 0441

P. Guedes de Oliveira, J.P. Cunha, T. Olivelra e Silva, and A.M. da Silva*. Dept. of Elect, and

Telecommunicalion/INESC, Univ. of Aveiro, Aveiro, Portugal, * Servlco Neurofisiologia, Porto, Portugal30.8-5: An Object-Oriented System for the Detection of Epileptogenic Sharp Transients in the EEG 0443

J.R. Glover, B, Ramabhadran and P.Y. Ktonas, Dept. of Electrical Engineeering, University of Houston,Houston, TX

30.8-6: On-Line Multichannel Adaptive Segmentation as a Basement for Long-Term EEG Processing 0445

V. Krajca, S. Petranek, A. Varri* and H. Frey**, Dept. Neurol., Fac. Hosp. Bulovka, Prague, Czechoslovakia,*Tampere Univ. of Technology, **Tampere Univ. Central Hosp., Tampere, Finland

Session 9. EEG II

30.9-1: Cross-Bispectra of the Rat EEG During REM Sleep 0447

T. Ning and J.D. Bronzlno, Dept. of Engr. and Computer Science, Trinity College, Hartford, CT

30.9-2: Isolation of Spindle in Sleep EEG Using the Asymptotic Local Approach 0449

D. Sauter, T. Cecchln, C. Dorr, M.M. Amady* and N. Di Renzo*, Centre de Recherche en Automatique de

Nancy, Untv. de Nancy, France, *Inst. National de Recherche et de Securite, Vandoeuvre, France

30.9-3: A Procedure for Automatic Classification of EEG Genetic Variants 0451

J.L. Varner, R.A. Potter* and J.W. Rohrbaugh**, Dept.ot Elect. Eng., Univ. of Nebraska. Lincoln, NE, *Dept.or Psychiatry, St. Elizabeth Comm. Hea. Ctr., Lincoln, NE, **Washington Univ. Sch. of Med., MO

30.9-4: Adaptive Segmentation of EEG Signals 0453

R. Autrichlig* S.B. Pedersen and P. Jennum**, Tech. Univ. of Denmark and * Dept. of Biomed. Engr., Case

Western Reserve Univ. Cleveland, OH, ** Dept. of Neurology, Univ. Hospital of Copenhagen, Denmark

30.9-6: A Sliding DFT Narrow-Band Filter: Extracting 40 Hz EEG 0455

Z. Bin, Z. Yi-sheng, Z. Ll-zhong and H. Hul-ylng, Dept. of Rad. & Elect, of USTC, Hefti, P. R. China

Session 10. EEG III

30.10-1: Investigation of a Multi-Cellular Neural Code for Directed Movement 0457

S.R. Smith, B.C. Wheeler*, J.P. Dowd** and CM. Comer**, Elect. Eng. S. Illinois Univ. at Edwardsvllle,

Elect. & Comp, Eng., Univ. oHL, Urbana-Champaign, **Biological Sci., Univ. ol IL at Chicago, IL

30.10-2: Detection of Bursts of Microneurographic Activity and Estimation of Burst Parameters 0459

R. Shiavi, Dept. ot Biomedical Engineering, and the Clinical Res. Center, Vanderbilt University, Nashville, TN

30.10-3: Methodological Approach to the Study Motor Potential Source Location in Man 0461

F. Babiloni, S. Rosatelli, C. Babiloni, P. Onorati and A. Urbano, Institute or Human Physiology, University "La

Saplenza", Rome, Italy

30.10-4: A Parallel Implentation of Interpolation Algorithms for EEG Potentials 0462

H.G, McAllister, P.J. McCullagh* and J. Ayre, Dept. ol Computer Science, Univ. ot Ulster, *Dept. ot Mental

Health, Queens Univ. Belfast, N. Ireland

30.10-5: Pole Trajectory Analysis for Autoregressive Processes of Movement Related Cortical Potentials 0464

in Man

G. Bonmassar, G. Babiloni, P. Onorati and F. Babiloni, Institute of Human Physiology, University "La

Sapienza", Rome, Italy

30.10-6: A Telemedicine Application for EEG Signal Transmission 0466

F. Vaz and O. Pacheco, and A.M. da Silva*, Dept. ot Elect. Telecomm. Univ. de Aveiro, Aveiro Portugal,*

Servlco de Neurofisiologia do Hospital Geral de St. Antonio, Porto, Portugal

Session 11. Blood Pressure

30.11-1: Application of a Prediction and Smoothing Algorithm to Non-Invasive Blood Pressure 0468

Measurement

T. J. Dorsetl, Protocol Systems Inc.. Beaverton, OR

30.11-2: Minimal Sampling Requirements for a Parametric Representation of Blood Pressure Profiles 0470

F.del Pozo, M.J. Rodriguez, M.T. Arredondo, E. Gomez and F. Halberg* Dept. TE y Bloingenieria, Untv.

Politecnica Madrid, Spain, * Chronobiology Labs, University of Minnesota, Minneapolis, MN

30.11-3: An Evidence of Blood Pressure and Respiration Originated Variations in Fluctuations of Pupil 0472

Diameter of the Human EyeK. Yana, F. Okuyama*. H. Yoshida, S. Fukushima and T. Tokoro*, Dept. or Electrical Engr., Hosei University,

Depl. of Ophthalmology, Tokyo Medical and Dental University, Tokyo, Japan

1 —XXV


30.11-4: Time Domain and Frequency-Domain Feature Analysis of Umbilical Artery Blood Flow Velocity 0475

L.-G. Zhou, and C.-L. Wang, Dept. ol Elect. Engr., Tslnghua Univ., Beijing, P. R. China

30.11-5: Reconstruction of the Antegrade and Retrograde Blood Pressure Waveforms from Flow 0477

Measurements

M.-Z. Liu and W. Wang, Dept. or Physics & Astronomy, University ol Tennessee at Chattanooga, Chatlanooga,TN

Session 12. EMG

30.12-1: Multiresolution Decomposition of Needle EMG 0479

J.C. Smerek and H. deBruin, Dept. or Medicine, McMaster University Medical Centre, Hamilton, Ontario,

Canada

30.12-2: Autoregressive Model to Muscle Force and Fatigue Analysis 0481

W.H. Chang and C.-P. Hwang, Dept. of Biomedical Engineering, Chung Yuan Christian University, Chung Li,

Taiwan

30.12-3: Automatic Recognition of Intestinal Myoelectric Activity 0483

M. F. Lucas, C. Cherbut*, and S. Bruley des Varannes**, Lab. de Automallque, Nantes, France, * Insl. Nat. de

Recherche Agronornique, Nantes, France, ** Lab, d'Explorations Fonclionnelles Digestives, Nantes, France

30.12-4: Uterine EMG: Experimental and Mathematical Determination of the Relationship Between 0485

Internal and External RecordingsS. Mansour, J. Duchenc, G. Germain and C. Marque, Biological Engineering Dept., URA CNRS 858 Universityof Compicgnc, Complcgne, France

30.12-5: Formulating the Optimum Receiver for the Multistate Myoelectric Channel in the Presence of 0487

Operator Error and System Error

E. Morln, P.A. Parker* and R.N. Scott*, Dept. of Electrical Engr., Queen's Univ., Kingston, Ont., Canada,

*Dept. of Electrical Engr., and Inst, of Biomed. Engr., University or New Brunswick, Frederlcton, NB, Canada

30.12-6: Optimal Selection of Muscle Contraction States Using Probabilistic Neural Myoprocessor 0488

T. Khoshaba, K. Badle, E. Zahadi and R.M. Hashemi, Blomcd. Engr. Lab., Amtrkabir Univ. or Technology,DJANBAZAN Biomed. and Rehab. Engr, Research Ctr., Tehran, Iran

Session 13. EGG

30.13-1: Use of Autocorrelation to Improve the Three Dimensional Plot of Transcutaneous Human 0490

ElectrogastrogramsM.P. Mintchev, Y.J. Kingrna and K.L. Bowes*, Dept. ol'Electrical Eng. *Dept. ot Surgery, University ol'Alberta,

Edmonion, Canada

30.13-2: Critical Review and New Aspects of Noise Analysis for Gastrointestinal Motility Determination 0492

O. Petrowicz, K. Muller, W.E. Hansen*, J. Eichmeier** and G. Blumel, Inst, for Experimental Surgery, * II.

Medical Clinic, ** Dept. or Fundamentals of Electronics, Technical University Munich, Munich, Germany

30.13-3: Development and Experimental Research of the Measurement and Diagnosis Device with 0494

Multiparameters of Stomach and EsophagusX. Lin, J. Lin, Q. Duan, J. Wen and H. Yu, Bioengineering Dept. Huazhong University or Science and

Technology, Wuhan, China

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ofthe Engineering in Medicineand BiologySocietyPart2: Track2: BioelectricPhenomena 0496-0562 Track 15: Electrocardiography 0563-0832 Track25: NeuromuscularSystems 0833-0949 Track 16: