BrainSuite

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BrainSuite13 is a collection of image analysis tools designed to process magnetic resonance images (MRI) of the human brain. BrainSuite13 provides an automatic sequence to extract cortical surface mesh models from the MRI, tools to register these to a labeled atlas to define anatomical regions of interest, and tools for processing diffusion imaging data including coregistration to anatomical data, ODF and tensor fitting and tractography. BrainSuite13 also contains visualization tools for exploring these data, and can produce interactive maps of regional connectivity.

 

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BrainSuite
Screenshot 1

Features

  • Automated cortical surface extraction from T1-weighted MRI.
  • Automated surface/volume registration software
  • Tools for correction of B0 effects in diffusion data and coregistration to structural MRI
  • Tools for processing of diffusion data including ODF and tensor fitting and tractography

 


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Download Details

Version: 13a
Release Date:  2013-03-28
Developer(s): David W. Shattuck, Anand A. Joshi, Chitresh Bhushan, Justin P. Haldar, Andrew C. Krause, Richard M. Leahy
License: LONI Software License
File Size: 129 MB
 
SYSTEM REQUIREMENTS OS: Linux 64-bit, Windows XP Pro, Windows 2000, Windows 7, Mac OS X, Memory: 2 GB, Processor: X86
Reference(s)
Joshi AA, Shattuck DW, Thompson PM, and Richard M. Leahy (2007) Surface-Constrained Volumetric Brain Registration Using Harmonic Mappings IEEE Trans. on Medical Imaging 26(12):1657-1669
 
Dogdas B, Shattuck DW, and Leahy RM (2005) Segmentation of Skull and Scalp in 3D Human MRI Using Mathematical Morphology Human Brain Mapping 26(4):273-85
 
Shattuck DW, Sandor-Leahy SR, Schaper KA, Rottenberg DA, and Leahy RM (2001) Magnetic Resonance Image Tissue Classification Using a Partial Volume Model,” NeuroImage 13(5):856-876.
 
Shattuck DW and Leahy RM (2001) Graph Based Analysis and Correction of Cortical Volume Topology, IEEE Transactions on Medical Imaging, 20(11):1167-1177.
 
Shattuck DW and Leahy RM (2002) BrainSuite: An Automated Cortical Surface Identification Tool, Medical Image Analysis, 8(2):129-142.
 
Acknowledgement(s)
This work was supported by:
NIH-NINDS R01 NS074980
NIH-NIBIB R01 EB002010
NIH-NIBIB P41-EB015922
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