MOCA: Metric Optimization for Computational Anatomy Posted By: Yonggang Shi - Jun 2, 2015Tool/Resource: MOCA Dear All, We are pleased to announce an initial release of our MOCA software toolkits for shape analysis is available for download at https://www.nitrc.org/projects/moca_2015... Both Linux and Windows versions are available. This release includes algorithms published in the following two papers: Y.Shi, R. Lai, J. Morra, I. Dinov, P. M. Thompson, A. W. Toga, Robust Surface Reconstruction via Laplace-Beltrami Eigen-Projection and Boundary Deformation, IEEE Transactions on Medical Imaging, 29(12), pp. 2009-2022, 2010. Y. Shi, R. Lai, D. Wang, D. Pelletier, D. Mohr, N. Sicotte, A.W. Toga, Metric Optimization for Surface Analysis in the Laplace-Beltrami Embedding Space, IEEE Transactions on Medical Imaging, 33(7), pp. 1447-1463, 2014. Please test it out and let us know if any problem. We will be continuously updating MOCA over the summer with more specific workflows and scripts on brain mapping problems. Best Wishes, Yonggang Shi, Ph.D. Assistant Professor, Tenure-Track USC Stevens Neuroimaging and Informatics Institute Laboratory of Neuro Imaging (LONI) Keck School of Medicine of USC University of Southern California 2001 North Soto Street – SSB1-Room 102 Los Angeles, CA 90032 Phone: (323) 44-BRAIN (442-7246) |
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