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ABSORB: Atlas Building by Self-Organized Registration and Bundling (RRID:SCR_007018)Copy Citation Copied
URL: http://bric.unc.edu/ideagroup/free-softwares/ABSORB/
Proper Citation: ABSORB: Atlas Building by Self-Organized Registration and Bundling (RRID:SCR_007018)
Description: This software package implements an algorithm for effective groupwise registration. The required input is a set of 3D MR intensity images (in Analyze format with paired .hdr and .img files) with a text file (.txt) listing all header file (.hdr) names. The output is the set of registered images together with the corresponding dense deformation fields. This software has been tested on Windows XP (32-bit) and Linux (64-bit, kernel version 2.6.18-194.el5). The images should be pre-processed before applying ABSORB: * All brain MR images used as inputs to ABSORB should be in the same situation (e.g., skull-stripped or not, cerebellum removed or not, etc.). * The input images should be in Analyze format with paired header and image files. This software was developed in IDEA group in UNC-Chapel Hill.
Abbreviations: ABSORB
Synonyms: ABSORB: Atlas Building by Self-Organized Registration Bundling, Atlas Building by Self-Organized Registration Bundling, Atlas Building by Self-Organized Registration and Bundling
Resource Type: software resource, image analysis software, software application, registration software, source code, data processing software
Defining Citation: PMID:20226255
Keywords: image, registration, bundling, atlas, magnetic resonance, algorithm or reusable library, intermodal, intersubject, intrasubject, image-to-template, affine warp, nonlinear warp
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University of North Carolina at Chapel Hill School of Medicine; North Carolina; USA |
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