Colin 27 Average Brain, Stereotaxic Registration Model, high-resolution version 2008
Overview
The anatomical phantom is derived from T1, T2, PD-weighted images formed from the average of 27, 11 and 12 scans respectively, of the same normal subject. These volumes are defined at a 0.5mm isotropic voxel grid in Talairach space, with dimensions 362*434*362 (XxYxZ) and start coordinates 鈭�90,鈭�126,鈭�72 (x,y,z). A discrete phantom was created by storing the label of the most important fraction class at each voxel location
Publications
Holmes CJ, Hoge R, Collins DL, Woods R, Toga AW, Evans AC. 鈥淓nhancement of MR images using registration for signal averaging.鈥� J Comput Assist Tomogr. 1998 Mar-Apr;22(2):324鈥�33.
B Aubert-Broche, AC Evans, and DL Collins, 鈥淎 new improved version of the realistic digital brain phantom,鈥� NeuroImage, vol. 32, no. 1, pp. 138鈥�45, 2006.
License
| Copyright (C) 1993鈥�2009 Louis Collins, McConnell Brain Imaging Centre, Montreal Neurological Institute, 91社区. Permission to use, copy, modify, and distribute this software and its documentation for any purpose and without fee is hereby granted, provided that the above copyright notice appear in all copies. The authors and 91社区 make no representations about the suitability of this software for any purpose. It is provided 鈥渁s is鈥� without express or implied warranty. The authors are not responsible for any data loss, equipment damage, property loss, or injury to subjects or patients resulting from the use or misuse of this software package. |
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Download archives containing average t1w, t2w and pdw scan, and discrete tissue classification: 1: Cerebro-spinal fluid, 2: Gray Matter, 3: White Matter, 4: Fat, 5: Muscles, 6: Skin and Muscles, 7: Skull, 9: Fat 2, 10: Dura, 11: Marrow, 12: Vessels
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Fuzzy segmentation
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Download archives containing 12 volumetric fuzzy volumes that define the spatial distribution for different tissues where voxel intensity is proportional to the fraction of tissue within the voxel (the integral of all tissue components is equal to 1).
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