PHOTOACOUSTIC IMAGING TO DETECT TUMOR HAIFENG WANG SUBHASHINI PAKALAPATI VU TRAN Department of Electrical and Computer Engineering University of Massachusetts

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  • PHOTOACOUSTIC IMAGING TO DETECT TUMOR HAIFENG WANG SUBHASHINI PAKALAPATI VU TRAN Department of Electrical and Computer Engineering University of Massachusetts Lowell HAIFENG WANG SUBHASHINI PAKALAPATI VU TRAN Department of Electrical and Computer Engineering University of Massachusetts Lowell 1
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  • OUTLINE Introduction Brief Principle of Photoacoustic (PA) Different Techniques of PAI Comparison of Various Imaging Techniques Advantages and Disadvantages Tasks Reference 2
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  • Brief Conversion of photons to acoustic waves due to absorption and localized thermal excitation. Pulses of light is absorbed, energy will be radiated as heat. Heat causes detectable sound waves due to pressure variation. 3
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  • Ultrasound applications: Ultrasound in optical fibers Introduction of Ultrasound Optical fiber ultrasound generator Optical fiber ultrasound detector 125m Laser induced optical fiber ultrasound generator-receiver
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  • Principle of photoacoustic Optical fiber Energy absorption layer Laser excitation Acoustic signals The light energy is converted into thermal energy via energy absorption layer; The thermal energy converts into mechanical wave because of thermal expansion; An acoustic wave is generated.
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  • Principle of photoacoustic by gold nanoparticle Optical fiber Energy absorption layer Gold nanoparticle Laser pulse Sound pulse Laser excitation Acoustic signals
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  • Principle of photoacoustic by cells or tissues[1]
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  • Experimental set up of photoacoustic molecular imaging[2]
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  • 10 Angiogenesis
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  • Tumor Detection Using Endogenous Contrast Xueding Wang, William W. Roberts, Paul L. Carson, David P. Wood and J. Brian Fowlkes, Photoacoustic tomography: a potential new tool for prostate cancer, 2010 :Vol. 1, No. 4 : Biomedical Optics Express 1117
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  • Using Exogenous Contrast 3-D photoacoustic imaging Evans Blue acted as a contrast agent. Deep lying blood vessels in real tissue samples were imaged at depths of 5 mm and at 9 mm from the plane of detection. The sensitivity of the technique was proven by photoacoustic detection of single red blood cells upon a glass plate C.G.A Hoelen et.al,1998
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  • PAImaging Using Gold Nano Particles 14 Qizhi Zhang et.al,2010
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  • 15 Qizhi Zhang et.al.,2010
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  • COMPARISON OF DIFFERENT IMAGING TECHNIQUES: ULTRASOUND Transducer emit ultrasound wave and get signals back from object D= t.v Scan volume to get image 16
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  • COMPUTED TOMOGRAPHY Use X-ray to collect data Detector collects the sum of absorption factors in one direction Using the computing algorithms, the absorption factor of each voxel will be calculated. 3D image will be constructed based on these factors. 17
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  • MRI A powerful magnetic field is used to align the magnetization of Hydrogen atoms in the body Radio frequency fields are used to alter the alignment of this magnetization Nuclei to produce a rotating magnetic field detectable by the scanner 18
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  • POSITRON EMISSION TOMOGRAPHY Positron-emitting radionuclide (tracer) is introduced into the body on a biologically active molecule System detects pairs of gamma rays emitted indirectly by a tracer Three-dimensional images of tracer concentration within the body are then constructed by computer analysis 19
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  • SINGLER PHOTON EMISSION COMPUTED TOMOGRAPHY A gamma-emitting radioisotope is injected into the bloodstream of the patient A marker radioisotope has been attached to a special radioligand (chemical binding properties to certain types of tissues) The ligand concentration is detected by a gamma-camera 20
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  • ADVANTAGES 1.Ability to detect deeply situated tumor and its vasculature 2.Monitors angiogenesis 3.High resolution 4.Compatible to Ultra Sound 5.High Penetration depth 6.No radioactive 7.Small size 8.Easy to clean and maintenance 9.No noise 1. Limited Path length 2. Temperature Dependence 3. Weak absorption at short wavelengths DISADVANTAGES 21
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  • TASKS To Refine and improve the paper. 22
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  • References 1. Fass, L., Imaging and cancer: A review. Molecular oncology, 2008. 2(2): p. 115-152. 2.Hall, E.J. and D.J. Brenner, Cancer risks from diagnostic radiology. Br J Radiol, 2008. 81(965): p. 362-378. 3.De Santis, M., et al., Radiation effects on development. Birth Defects Res C Embryo Today, 2007. 81(3): p. 177-82. 4.Brenner, D., Should we be concerned about the rapid increase in CT usage? Reviews on environmental health, 2010. 25(1): p. 63-68. 5.Rapacholi, M.H., Essentials of Medical Ultrasound: A Practical Introduction to the Principles, Techniques and Biomedical Applications. 1982. 6.Khan, T.S., et al., 11C-metomidate PET imaging of adrenocortical cancer. Eur J Nucl Med Mol Imaging, 2003. 30(3): p. 403-10. 7.Minn, H., et al., Imaging of Adrenal Incidentalomas with PET Using 11C-Metomidate and 18F-FDG. J Nucl Med, 2004. 45(6): p. 972-979. 8.Young, H., et al., Measurement of clinical and subclinical tumour response using [18F]-fluorodeoxyglucose and positron emission tomography: review and 1999 EORTC recommendations. European Organization for Research and Treatment of Cancer (EORTC) PET Study Group. European journal of Cancer, 1999. 35(13): p. 1773-1782. 9.Amen, D.G. and B.D. Carmichael, High-Resolution Brain SPECT Imaging in ADHD. Annals of Clinical Psychiatry, 1997. 9(2): p. 81-86. 10.Amen, D.G., C. Hanks, and J. Prunella, Predicting positive and negative treatment responses to stimulants with brain SPECT imaging. J Psychoactive Drugs, 2008. 40(2): p. 131-8. 11.Bonte, F.J., et al., Tc-99m HMPAO SPECT in the differential diagnosis of the dementias with histopathologic confirmation. Clin Nucl Med, 2006. 31(7): p. 376-8. 12.Massoud, T.F. and S.S. Gambhir, Molecular imaging in living subjects: seeing fundamental biological processes in a new light. Genes Dev, 2003. 17(5): p. 545-80. 13.Gibson, A.P., J.C. Hebden, and S.R. Arridge, Recent advances in diffuse optical imaging. Phys Med Biol, 2005. 50(4): p. R1-43. 14.Kovar, J.L., et al., A systematic approach to the development of fluorescent contrast agents for optical imaging of mouse cancer models. Anal Biochem, 2007. 367(1): p. 1-12. 15.Frangioni, J.V., New Technologies for Human Cancer Imaging. Journal of Clinical Oncology, 2008. 26(24): p. 4012-4021. 16.Zhang, H.F., et al., Functional photoacoustic microscopy for high-resolution and noninvasive in vivo imaging. Nat Biotechnol, 2006. 24(7): p. 848-51. 17.Siphanto, R.I., et al., Serial noninvasive photoacoustic imaging of neovascularization in tumor angiogenesis. Opt Express, 2005. 13(1): p. 89-95. 18.Emelianov, S.Y., et al., Synergy and Applications of Combined Ultrasound, Elasticity, and Photoacoustic Imaging. IEEE Ultrasonics Symposium (2006), 2006: p. 405-415. 19.Jose, J., et al., Imaging of tumor vasculature using Twente photoacoustic systems. Journal of Biophotonics, 2009. 2(12): p. 701-717. 23
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  • THANK YOU 24