NYUMC FireVoxel-BrainMask Software License Agreement Yes NITRC BrainMask Volume Processing Tool Windows XP Yes C++ Henry Rusinek Segmentation of the brain from three-dimensional MR images is a crucial pre-processing step in morphological and volumetric brain studies. BrainMask implements a fully automatic brain segmentation algorithm that uses advanced "thresholding with morphology" and 3D edge detection algorithms. BrainMask demonstrates high segmentation accuracy. For a representative 26 datasets, the segmentation error averaged 3.4% ± 1.3% (Mikheev A et al. J Magn Reson Imag 27(6):1235-41;2008). BrainMask includes NNN - a tool based on the algorithm developed by John Sled for correcting the intensity non-uniformity in MR data (Sled JG et al. IEEE Trans Med Imag 17(1):87-97;1998). BrainMask also includes a versatile DICOM wiewer and allows to selectively load and organize DICOM images into 3D and 4D datasets. 2009-10-15 Production/Stable build 62A 2009-5-27 Production/Stable build 57F BrainMask Volume Processing Tool NYUMC FireVoxel-BrainMask Software License Agreement, Win32 (MS Windows), English, Production/Stable, Mature, C++, Volumetric Analysis, End Users, Windows XP, Region of Interest, Constrained Region Growing, ANALYZE, Other Format, DICOM, bshort/bfloat, Image Display, Volume Measurement http://www.nitrc.org/projects/brainmask/, http://www.nitrc.org/projects/brainmask/ hr18@nyu.edu