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URL: http://www.nitrc.org/projects/brainmask/
Proper Citation: BrainMask Volume Processing Tool (RRID:SCR_009538)
Description: 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.
Abbreviations: BrainMask
Resource Type: software resource, image analysis software, software application, segmentation software, data processing software, data visualization software
Keywords: analyze, application, bshort/bfloat, c++, constrained region growing, dicom, image display, microsoft, magnetic resonance, region of interest, segmentation, visualization, volume measurement, volumetric analysis, win32 (ms windows), windows, windows xp
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