Algorithms Organization

• Ross Whitaker – Utah

• Polina Golland – MIT (Kayhan B.)

• Guido Gerig – Utah

• Martin Styner – UNC

• Allen Tannenbaum – Georgia Tech

Presentations

• Highlights from the 10-year project

• Recent advances

• Clinical/biomedical impact

Diffusion Tensor Imaging

• Structure, function, connectivity, and schizophreniao Shenton/Harvardo Potkin/Irvine

• Technical challengesoData preprocessingoRobust tools for analysis

DTI Technical Development

• Denoisingo Basu, et al., MICCAI, 2006

• Susceptibility artifactso Tao, et al., IPMI 2009

• Segmentationo Fletcher et al., IPMI, 2007

DTI Segmentation

• Volumetric tractography

• Volumetric paths between ROIsoA collection of shortest pathsoUser interaction, visualization, GPU

implementations

NA-MIC DTI Analysis• Ancillary grant:

Lainhart/Fletcher – DTI analysis in autismo Scientific results

– Arcuate fasciculus in autism, Fletcher et al, Neuroimage, 2010.

– Longitudinal Heschl's gyrus in autism, Prigge et al., 2013.

o Software pipeline

• Broader impact– Cardenas et al., J Neuroimaging,

2013. (UCSF)

Statistical Shape Modeling

• DBPso Shenton/Schizophreniao Piven/AutismoMacLeod/Marrouche

• Robust, general methods for shape analysis

• Softwareo ShapeWorks

Technology for Shape Analysis

• Correspondence/parameterization

• Hypothesis testing

• Regression

• Longitudinal analysis

• Scientific resultso Harris et al., J. of Ortho. Res., 2013o Jones et al., J. of Ortho. Res., 2013

NA-MIC Ancillary Grant

• Anderson: shape analysis in hip pathoanatomy (ongoing)o Shape analysis in hip biomechanicsoDiagnosis and treatment planningoDatabase of parameterized hip models

Segmentation

• DBPso Sharp/Chen, Head and Neck CanceroMacLeod/Marrouche, Afib

• Robust tools for “difficult” segmentation problemso Low SNRoHigh shape variability

Bayesian Formulation of LA Segmentation (DCE-MRI)

LA Segmentation Results

Slicer Module