3D Slicer License Yes UNC/GE NITRC MABMIS for Slicer 4: Multi-Atlas Based Multi-Image Segmentation Guorong Wu MABMIS is a module for Slicer 4 that implements a multi-atlas based multi-image method for group-wise segmentation. (H. Jia, P-T Yap, D. Shen, "Iterative multi-atlas-based multi-image segmentation with tree-based registration", NeuroImage, 59:422-430, 2012. ) The method utilizes a novel tree-based groupwise registration method for concurrent alignment of both the atlases and the target images, and an iterative groupwise segmentation method for simultaneous consideration of segmentation information propagated from all available images, including the atlases and other newly segmented target images. MABMIS contains a training step and a testing step. In the training step, a groupwise registration is performed to generate a tree structure for the atlases. In the testing step, a group of target images are simultaneously and iteratived segmented using the pre-constructed atlas tree. Prior to applying MABMIS, the atlas images and target images need be skullstripped, and linearly transformed to a common space. 2014-1-08 MABMIS manual 2014-1-08 Test Data: 2014-1-08 Macosx_x64_precompiled 2014-1-08 Linux_x64_precompiled 2014-1-08 Windows_x64_vs9_precompiled MABMIS for Slicer 4: Multi-Atlas Based Multi-Image Segmentation MR, 3D Slicer License http://www.nitrc.org/projects/mabmis_slicer4/, http://www.nitrc.org/projects/mabmis_slicer4/ grwu@med.unc.edu