NA-MIC National Alliance for Medical Image Computing Velocardiofacial Syndrome as a Genetic Model for Schizophrenia Marek Kubicki DBP2, Brigham and Women’s Hospital, Harvard Medical School

National Alliance for Medical Image Computing Team HARVARD Marek Kubicki, MD, PhD Sylvain Bouix, PhD Yogesh Rathi, PhD Doug Markant, BA Usman Khan, BA NAMIC Polina Golland MIT Brad Davis Kitware CF Westin BWH Others

National Alliance for Medical Image Computing NAMIC Roadmap Project: Stochastic Tractography Accomplished: 1. Method successfully used Stochastic Tractography with old schizophrenia data available to NAMIC (1.5T 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 3T 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. Slicer3 module built (programming week).

National Alliance for Medical Image Computing 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 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 Other Projects Update DLPFC project We have been testing and improving slicer 2 DLPFC segmentation module, and optimizing segmentation for 3T structural data. We have been testing different bias field correction programs, in order to further fine-tune 3T 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 Other Contributions to the NAMIC Kit Resting state fMRI analysis project We have collected resting-state fMRI 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 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 3T 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 Collaborations within NAMIC UNC Corpus Callosum Subdivision using tractography-based model (Kubicki et al., paper submitted) MIT Whole Brain Group Spectral Clustering (new data analysis ongoing) GaTech Cingulum Bundle analysis using Finsler method (ongoing) Utah DTI data analysis using atlas building (ongoing)