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What Core 3 wants from Cores 1&2

This article discusses challenges in defining and separating anatomical structures in MRI data and provides solutions for measuring their shapes. It also addresses visualizing, measuring, and separating fiber tracts in DTI data. Additionally, it explores the co-registration of different imaging modalities and the transfer of fMRI results into diffusion space.

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What Core 3 wants from Cores 1&2

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  1. NA-MIC National Alliance for Medical Image Computing http://na-mic.org What Core 3 wants from Cores 1&2 Clinical Neuroscience Division, Laboratory of Neuroscience, Department of Psychiatry, Harvard Medical School Surgical Planning Laboratory, MRI Division, Department of Radiology Brigham & Women’s Hospital, Harvard Medical School

  2. Heschl’s Gyrus Planum Temporale MRI structural Data Problems: How to automatically define, and separate anatomical structures? How to measure and compare their shapes?

  3. DTI- Cingulum Bundle Problems: How to visualize and measure the whole cingulum bundle? How to avoid “leaking” of the fibers through the corpus callosum

  4. DTI- Fornix Below in green, fiber tracking seeded within the fornix ROI. Problems: How to measure the whole fiber tract that goes through the ROI? How to separate left and right fornices, based on the drawn ROI?

  5. Co-registration of DTI and SPGR images Left- brain mask generated from SPGR image co-registered and superimposed on the no gradient diffusion image. Down- STG ROI superimposed on no-gradient diffusion image. Problems: How to precisely register DTI and SPGR?

  6. Co-registration of DTI and fMRI FMRI activation during semantic processing of words (red- posterior STG, blue- inferior frontal gyrus), co-registered, and superimposed on no-gradient DTI. Problems: -How to transfer fMRI results from Talairach space into single subject diffusion space

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