A Quantitative DTI Fiber Tract Analysis Suite
Department of Computer Science and Department of Psychiatry, University of North Carolina
| Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/39 |
Published in The Insight Journal - 2005 MICCAI Open-Source Workshop.
Submitted by Casey Goodlett on 01-06-2006.
Diffusion tensor imaging (DTI) allows a quantitative study of the
underlying geometry and architecture of white matter. We have
developed a suite of open source tools for quantitative analysis of
DTI suitable for use in clinical research studies. We have leveraged
open source tools for file IO, image processing, visualization, and
user interface. The tools are designed to provide several
interconnected modules to perform quantitative analysis of DTI data
based on fiber tracts generated from tractography.
underlying geometry and architecture of white matter. We have
developed a suite of open source tools for quantitative analysis of
DTI suitable for use in clinical research studies. We have leveraged
open source tools for file IO, image processing, visualization, and
user interface. The tools are designed to provide several
interconnected modules to perform quantitative analysis of DTI data
based on fiber tracts generated from tractography.
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MICCAI-workshop-presentation.ppt (17Mb) [view slideshow]
MICCAI-workshop-presentation.ppt (17Mb) [view slideshow]
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| Keywords: | DTI, ITK, |
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| An ITK Implementation of a Diffusion Tensor Images Resampling Filter | ||
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