DocumentCode :
2380935
Title :
Efficient parametric encoding scheme for white matter fiber bundles
Author :
Chung, Moo K. ; Adluru, Nagesh ; Lee, Jee Eun ; Lazar, Mariana ; Lainhart, Janet E. ; Alexander, Andrew L.
Author_Institution :
Waisman Lab. for Brain Imaging & Behavior, Univ. of Wisconsin, Madison, WI, USA
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
6644
Lastpage :
6647
Abstract :
We present a novel parametric encoding scheme for efficiently recording white matter fiber bundle information obtained from diffusion tensor imaging. The coordinates of fiber tracts are parameterized using a cosine series expansion. For an arbitrary tract, a 19 degree expansion is found to be sufficient to reconstruct the tract with an average error of about 0.26 mm. Then each tract is fully parameterized with 60 parameters, which results in a substantial data reduction. Unlike traditional splines, the proposed method does not have internal knots and explicitly represents the tract as a linear combination of basis functions. This simplicity in the representation enables us to design statistical models, register tracts and perform subsequent analysis in a more streamlined mathematical framework. As an illustration, we apply the proposed method in characterizing abnormal tracts that pass through the splenium of the corpus callosum in autistic subjects.
Keywords :
biomedical MRI; brain; encoding; medical signal processing; neurophysiology; autistic subjects; corpus callosum splenium; cosine series expansion; diffusion tensor imaging; efficient parametric encoding scheme; white matter fiber bundle information recording; white matter fiber bundles; Corpus Callosum; Diffusion Magnetic Resonance Imaging; Humans; Nerve Fibers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5332866
Filename :
5332866
Link To Document :
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