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MIT CSAIL Biomedical Image Analysis Group

MIT CSAIL Biomedical Image Analysis Group. Polina Golland, Sandy Wells, Eric Grimson. What we contribute. Segmentation methods Especially shape and atlas based methods Statistical analysis of shapes Anatomical structures DTI tracts Registration Large scale population co-registration

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MIT CSAIL Biomedical Image Analysis Group

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  1. MIT CSAIL Biomedical Image Analysis Group Polina Golland, Sandy Wells, Eric Grimson

  2. What we contribute • Segmentation methods • Especially shape and atlas based methods • Statistical analysis of shapes • Anatomical structures • DTI tracts • Registration • Large scale population co-registration • fMRI analysis • Anatomically guided detection • Population analysis

  3. Segmentation • Atlas- and shape- based segmentation • Integrated into NAMIC-kit • Collaborative studies with DBPs • Publications: • Pohl et al. MICCAI 2005, MICCAI 2006, NeuroImage 2006 • Koo et al. AGP 2006: clinical application • In preparation: clinical paper with Harvard

  4. DTI • Clustering of fiber tracks • Atlas construction • Segmentation • Mature components are in NAMIC-kit • Collaborative studies with DBPs • Publications: • O’Donnell et al. MICCAI 2005, MICCAI 2006, ISMRM 2006 • Ziyan et al. MICCAI 2006, Maddah et al. MICCAI 2005, ISBI 2006 • O’Donnell et al. AJNR 2006: clinical application

  5. Registration • Information-theoretic group-wise registration • Integration into NAMIC-kit in progress • Collaborative studies in progress • Publications: • Zollei et al. ICCV Workshop 2005 (Best paper award), WBIR 2006

  6. fMRI Analysis • Anatomically guided fMRI detection • Functional hierarchies • Integration into NAMIC-kit in progress • Demonstrated on DBP data • Publications: • Ou & Golland, IPMI 2005 • In preparation: TMI article, IPMI 2007, MICCAI 2007

  7. What we get from NAMIC NAMIC provides a collaborative base for interaction with driving applications • Amplifies computational work we are doing under core NIH RO1 • Complements medical robotics work as part of NSF ERC with JHU • Serves as a main avenue of collaborations in clinical neuroscience

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