NAMIC National Alliance for Medical Image Computing http

NA-MIC National Alliance for Medical Image Computing http: //na-mic. org Velocardiofacial Syndrome as a Genetic Model for Schizophrenia Marek Kubicki DBP 2, Brigham and Women’s Hospital, Harvard Medical School

Team HARVARD • • • Marek Kubicki, MD, Ph. D Sylvain Bouix, Ph. D Yogesh Rathi, Ph. D Doug Markant, BA Usman Khan, BA NAMIC • • Polina Golland MIT Brad Davis Kitware CF Westin BWH Others National Alliance for Medical Image Computing http: //na-mic. org

NAMIC Roadmap Project: Stochastic Tractography Accomplished: 1. Method successfully used Stochastic Tractography with old schizophrenia data available to NAMIC (1. 5 T GE data) (Shenton et al. , 2007). 2. Algorithm tested on smaller structures (cingulum, uncinate, arcuate, fornix). Data presented at Santa Fe in October. 3. Optimized to work with newly acquired, high resolution BWH 3 T DTI data (available to NAMIC since December 2008). 4. Algorithm also tested and further debugged on phantom data (Programming week). 5. New tools added to the module per our request: cutting the tracts at the ROIs, streamline tractography option to test continuity of the tract. 6. Slicer 3 module built (programming week). National Alliance for Medical Image Computing http: //na-mic. org

NAMIC Roadmap Project: Stochastic Tractography Update- Language related connections: 1. ROIs including Brocka and Wernicke areas generated using free surfer 2. White matter masks used for tracking purposes generated also with free surfer. 3. Registration between DTI and MRI done, using demons slicer algorythm. 4. Tracts for the Arcuate Fasciculus extracted, IOFF affected by distortions much more, extraction unreliable. National Alliance for Medical Image Computing http: //na-mic. org

NAMIC Roadmap Project: Stochastic Tractography Outstanding related issues: 1. Distortion correction needed for the registration to be more accurate. 2. Or better registration to compensate for the distortions. 3. Measurements along the extracted tracts (automatic tract parametrization, outlier rejection? ). 4. Compatibility with other data formats. National Alliance for Medical Image Computing http: //na-mic. org

Other Projects Update DLPFC project • • We have been testing and improving slicer 2 DLPFC segmentation module, and optimizing segmentation for 3 T structural data. We have been testing different bias field correction programs, in order to further fine-tune 3 T slicer segmentation. Jim Fallon, visited PNL in Spring, and helped drawing DLPFC on all cases. The problem now seems to be that because the sulci are so deep, and do not run parallel to the geometric blades, we get inconsistent results. We discuss implications of the editing with Jim. National Alliance for Medical Image Computing http: //na-mic. org

Other Contributions to the NAMIC Kit Resting state f. MRI analysis project • • We have collected resting-state f. MRI data, and started analyzing it. Preliminary results have been presented at Biol Psych. Polina’s student (Bryce) with help from Jungsu Oh runs ICA and GMM (Gaussian Mixture Model) on the data now. Some problems with noise handling in the data… National Alliance for Medical Image Computing http: //na-mic. org

Other Contributions to the NAMIC Kit DTI atlas registration project • • • We have obtained DTI atlas of white matter labels from MIND (Susumu Mori) We are trying to register these labels to our 3 T DTI data through anatomical SPGR images. Preliminary data presented at Biological Psychiatry Symposium. We are using slicer 2, and working on improving co-registration procedures (estimating and applying deformations to different images, reverse deformations, etc). B-spline available, in the testing phase. National Alliance for Medical Image Computing http: //na-mic. org

Collaborations within NAMIC UNC MIT Ga. Tech Utah Corpus Callosum Subdivision using tractography-based model (Kubicki et al. , paper submitted) Whole Brain Group Spectral Clustering (new data analysis ongoing) Cingulum Bundle analysis using Finsler method (ongoing) DTI data analysis using atlas building (ongoing) National Alliance for Medical Image Computing http: //na-mic. org