Linked Life Data

20939091

Source:http://linkedlifedata.com/resource/pubmed/id/20939091

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2011-1-25
pubmed:abstractText
This study describes a method of utilizing unaveraged dipolar effects to characterize and compute collagen fiber tracks using magnetic resonance imaging. The technique yields information about fiber structure with some similarities to what can be obtained in brain using diffusion tensor imaging, but relies on a completely different physical mechanism, namely, unaveraged homonuclear dipolar interactions. The method is probably only appropriate for highly ordered collagen rich tissues. A goat knee meniscus was embedded in a spherical epoxy ball and the magnetic resonance signal intensity was examined as a function of sample orientation to a 3T static field using a three-dimensional gradient echo sequence. Unaveraged dipolar interactions caused a sixfold signal variation with orientation. After correction for coil sensitivity and registration of the images, a principal dipolar direction was computed for each voxel. The data were analyzed and viewed as dipolar direction and standard deviation (anisotropy) maps. Circumferential fibers within the meniscus were visualized as fiber tracks grown using diffusion tensor imaging software. The acronym dipolar anisotropy fiber imaging is proposed for this technique. Magn Reson Med, 2011. © 2010 Wiley-Liss, Inc.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
1522-2594
pubmed:author
pubmed:copyrightInfo
Copyright © 2010 Wiley-Liss, Inc.
pubmed:issnType
Electronic
pubmed:volume
65
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
463-70
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Dipolar anisotropy fiber imaging in a goat knee meniscus.
pubmed:affiliation
Department of Radiology, University of California, San Diego, California, USA. nszeverenyi@ucsd.edu
pubmed:publicationType
Journal Article