DocumentCode
471627
Title
Morphology and Morphometry in Chronic Spinal Cord Injury Assessed Using Diffusion Tensor Imaging and Fuzzy Logic
Author
Ellingson, Benjamin M. ; Ulmer, John L. ; Prost, Robert W. ; Schmit, Brian D.
Author_Institution
Dept. of Biomed. Eng., Marquette Univ., Milwaukee, WI
fYear
2006
fDate
Aug. 30 2006-Sept. 3 2006
Firstpage
1885
Lastpage
1888
Abstract
Diffusion tensor imaging (DTI) using a combination of direct anisotropy measurements provided a more anatomically accurate morphological representation of the human spinal cord than traditional anisotropy indices. Furthermore, the use of a fuzzy logic algorithm to segment regions of gray and white matter within the spinal cord based on these anisotropy measurements allowed for morphometric analyses. Results indicated a significant decrease in overall spinal cord cross-sectional area, dorsal funiculus cross-sectional area, and lateral funiculi cross-sectional area in subjects with injury compared to the neurologically intact control subjects. Results also showed individuals with caudal injuries had a morphology and morphometry that was more similar to that of the control subjects, which is consistent with the process of Wallerian degeneration and has been illustrated by previous investigations involving animal surrogates
Keywords
biodiffusion; biomedical MRI; biomedical measurement; brain; fuzzy logic; image representation; image segmentation; inference mechanisms; medical image processing; neurophysiology; Wallerian degeneration; anisotropy measurements; chronic spinal cord injury; diffusion tensor imaging; dorsal funiculus cross-sectional area; fuzzy logic algorithm; gray matter regions; image segmentation; inference system; lateral funiculi cross-sectional area; morphological representation; spinal cord cross-sectional area; white matter regions; Algorithm design and analysis; Animals; Anisotropic magnetoresistance; Diffusion tensor imaging; Fuzzy logic; Humans; Image segmentation; Morphology; Spinal cord; Spinal cord injury; Diffusion Tensor Imaging; Fuzzy Logic; Spinal Cord Injury;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location
New York, NY
ISSN
1557-170X
Print_ISBN
1-4244-0032-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2006.259379
Filename
4462146
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