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Name
diffusion_smoothing_tool
Byline
Draper Lab & MGH
Description
This tool implements a unified approach to variational smoothing and segmentation to brain diffusion tensor image data along user-selected attributes derived from the tensor, with the aim of extracting detailed brain structure information. The application of this framework simultaneously segments and denoises to produce edges and smoothed regions within the white matter of the brain that are relatively homogeneous with respect to the diffusion tensor attributes of choice.
NIfTI-1 support
Creator
Mukund Desai & Rami Mangoubi
Contact
dave@cma.mgh.harvard.edu
WWW
http://www.cma.mgh.harvard.edu/HBP_RO1/Diffusion_Smoothing_Code/
Availability
Currently available at tool website.
How to get
Web-based download.
Current version
1.0
Current version release date
7/1/06
Open source
Yes
License
Available free of charge
Yes
Requirements
Requires Matlab
Technical publications
Desai, M., D. Kennedy, Mangoubi R, Shah J, Karl C, Worth A, Makris N, Pien H. “Model-Based Variational Smoothing and Segmentation for Diffusion Tensor Imaging in the Brain”, Neuroinformatics, 4(3):217-34 2006.
Applications publications
Other information
Keywords
diffusion, smoothing
Platforms
MATLAB
IATR listing last updated
10 Oct 2006