Analysis of Large Clinical Image Studies: Application to Stroke

Code

• Pre-processing and registration pipeline (Python and MATLAB)
• Analysis code (MATLAB). Please make sure to do a recursive git pull

Publications

• A.V. Dalca, R. Sridharan, L. Cloonan, K. M. Fitzpatrick, A. Kanakis, K.L. Furie, J.Rosand, O.Wu, M.Sabuncu, N.S. Rost, P.Golland. Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors. In Proc. MICCAI: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), to appear, 2014.
• R. Sridharan^‡, A.V. Dalca^‡, K.M. Fitzpatrick, L. Cloonan, A. Kanakis, O. Wu, K.L. Furie, J. Rosand, N.S. Rost, P. Golland. Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke. In Proc. MICCAI International Workshop on Multimodal Brain Image Analysis (MBIA), 2013.
  ^‡ equal contribution

Contributors

• CSAIL, MIT: Adrian Dalca, Ramesh Sridharan, Mert Sabuncu, Polina Golland
• Neurology, MGH, HMS: Kaitlin M. Fitzpatrick, Lisa Cloonan, Allison Kanakis, Ona Wu, Jonathan Rosand, Natalia S. Rost
• Neurology, RIH, AMS Brown: Karen L. Furie

Data

• Atlas (based on Buckner 40) with segmentations