Linked Life Data

17946920

Source:http://linkedlifedata.com/resource/pubmed/id/17946920

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2007-10-23
pubmed:abstractText
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.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1557-170X
pubmed:author
pubmed:issnType
Print
pubmed:volume
1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1885-8
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Morphology and morphometry in chronic spinal cord injury assessed using diffusion tensor imaging and fuzzy logic.
pubmed:affiliation
Dept. of Biomed. Eng., Marquette Univ., Milwaukee, WI 53201, USA. benjamin.ellingson@marquette.edu
pubmed:publicationType
Journal Article, Evaluation Studies