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Advancements in Diffusion Tensor Imaging: Insights, Challenges, and Future Directions

This presentation reviews a decade of innovation in Diffusion Tensor Imaging (DTI) focused on its clinical and biomedical impact. It highlights significant research contributions from institutions including Utah and MIT on topics such as structure, function, connectivity, and schizophrenia. Key subjects include technical challenges like data preprocessing, robust analysis tools, segmentation, and volumetric tractography. The session discusses recent findings in autism and the use of advanced shape modeling techniques, emphasizing the integration of user interaction and visualization in DTI analysis.

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Advancements in Diffusion Tensor Imaging: Insights, Challenges, and Future Directions

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  1. Algorithms Organization Ross Whitaker – Utah PolinaGolland – MIT (Kayhan B.) Guido Gerig – Utah Martin Styner – UNC Allen Tannenbaum – Georgia Tech

  2. Presentations Highlights from the 10-year project Clinical/biomedical impact Recent advances Future

  3. Diffusion Tensor Imaging • Structure, function, connectivity, and schizophrenia • Shenton/Harvard • Potkin/Irvine • Technical challenges • Data preprocessing • Robust tools for analysis

  4. DTI Technical Development • Denoising • Basu, et al., MICCAI, 2006 • Susceptibility artifacts • Tao, et al., IPMI 2009 • Segmentation • Fletcher et al., IPMI, 2007

  5. DTI Segmentation • Volumetric tractography • Volumetric paths between ROIs • A collection of shortest paths • User interaction, visualization, GPU implementations

  6. NA-MIC DTI Analysis • Ancillary grant: Lainhart/Fletcher – DTI analysis in autism • Scientific results • Arcuatefasciculus in autism, Fletcher et al, Neuroimage, 2010. • Longitudinal Heschl'sgyrusin autism, Prigge et al., 2013. • Software pipeline • Impact • Cardenas et al., J Neuroimaging, 2013. (UCSF)

  7. Statistical Shape Modeling • DBPs • Shenton/Schizophrenia • Piven/Autism • MacLeod/Marrouche • Robust, general methods for shape analysis • Software • ShapeWorks

  8. Technology for Shape Analysis • Correspondence/parameterization • Hypothesis testing • Regression • Longitudinal analysis • Scientific results • Harris et al., J. of Ortho. Res., 2013 • Jones et al., J. of Ortho. Res., 2013

  9. NA-MIC Ancillary Grant • Anderson: shape analysis in hip pathoanatomy (Aug 2013) • Shape analysis in hip biomechanics • Diagnosis and treatment planning • Database of parameterized hip models

  10. Segmentation • DBPs • Sharp/Chen, Head and Neck Cancer • MacLeod/Marrouche, Afib • Robust tools for “difficult” segmentation problems • Low SNR • High shape variability

  11. Bayesian Formulation of LA Segmentation (DCE-MRI)

  12. LA Segmentation Results

  13. NIH Proposal – Afib(Oct 2013) CARMA (Cates, Marrouche, et al.) Shape analysis afib/stroke

  14. Slicer Module

  15. Slicer Module (In Progress) • Cleaver – triangle/tet meshing of multmaterial volumes • Visualization, simulation

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