NA-MICNational Alliance for Medical Image Computing http://na-mic.org

MIT CSAIL Biomedical Image Analysis Group

Polina Golland, Sandy Wells, Eric Grimson

National Alliance for Medical Image Computing http://na-mic.org

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

National Alliance for Medical Image Computing http://na-mic.org

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

National Alliance for Medical Image Computing http://na-mic.org

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

National Alliance for Medical Image Computing http://na-mic.org

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

National Alliance for Medical Image Computing http://na-mic.org

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

National Alliance for Medical Image Computing http://na-mic.org

What we get from NAMIC

• 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

NAMIC provides a collaborative base for interaction with driving applications