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Derivation of Fiber Tracts Representing the Corticospinal Tract using Anatomical Landmarks

Institution:
1Department of Psychiatry, University of Iowa, Iowa City, IA, USA.
2John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, USA.
3Department of Radiology, University of Iowa, Iowa City, IA, USA.
Publisher:
Int Conf Med Image Comput Comput Assist Interv. MICCAI 2012
Publication Date:
Oct-2012
Journal:
Int Conf Med Image Comput Comput Assist Interv
Citation:
Int Conf Med Image Comput Comput Assist Interv. 2012 Oct;15(WS). DTI Tractography Challenge Workshop.
Appears in Collections:
NA-MIC, SLICER
Sponsors:
R01 NS050568/NS/NINDS NIH HHS/United States
R01 NS040068/NS/NINDS NIH HHS/United States
U54 EB005149/EB/NIBIB NIH HHS/United States
Generated Citation:
Matsui J.T., Kim E.Y., Magnotta V., Johnson H. Derivation of Fiber Tracts Representing the Corticospinal Tract using Anatomical Landmarks. Int Conf Med Image Comput Comput Assist Interv. 2012 Oct;15(WS). DTI Tractography Challenge Workshop.
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White matter fiber tractography holds the promise of contributing to the precision and improving the outcomes of neurosurgical procedures by characterizing underlying anatomy before, after, and during surgery. Traditional methods of tractography often require seed regions to provide starting and stopping points for the tractography algorithm. In a neurosurgical setting, brain anatomy can be altered significantly by unpredictable pathology. Segmentation tools or label atlas warping that could provide seed regions may not work optimally in this setting because these techniques are based on relatively normal brain anatomy. Therefore, the methods presented here for reconstructing the corticospinal tract attempt to bypass the need to delineate all structures in the brain for successful tractography by instead deriving seed regions from anatomical landmarks. In addition, a multi-tensor tractography alother tools developed by the National Alliance for Medical Computing (NA-MIC) community.

Additional Material
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Matsui-MICCAI2012-DTIWorkshop-fig1.jpg (267.203kB)