Linked Life Data

18308587

Source:http://linkedlifedata.com/resource/pubmed/id/18308587

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2008-3-24
pubmed:abstractText
Recently, we demonstrated that vessel geometry is a significant determinant of susceptibility-induced contrast in MRI. This is especially relevant for susceptibility-contrast enhanced MRI of tumors with their characteristically abnormal vessel morphology. In order to better understand the biophysics of this contrast mechanism, it is of interest to model how various factors, including microvessel morphology contribute to the measured MR signal, and was the primary motivation for developing a novel computer modeling approach called the Finite Perturber Method (FPM). The FPM circumvents the limitations of traditional fixed-geometry approaches, and enables us to study susceptibility-induced contrast arising from arbitrary microvascular morphologies in 3D, such as those typically observed with brain tumor angiogenesis. Here we describe this new modeling methodology and some of its applications. The excellent agreement of the FPM with theory and the extant susceptibility modeling data, coupled with its computational efficiency demonstrates its potential to transform our understanding of the factors that engender susceptibility contrast in MRI.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/18308587-10861879, http://linkedlifedata.com/resource/pubmed/commentcorrection/18308587-11590650, http://linkedlifedata.com/resource/pubmed/commentcorrection/18308587-14508775, http://linkedlifedata.com/resource/pubmed/commentcorrection/18308587-15122694, http://linkedlifedata.com/resource/pubmed/commentcorrection/18308587-15334564, http://linkedlifedata.com/resource/pubmed/commentcorrection/18308587-1569876, http://linkedlifedata.com/resource/pubmed/commentcorrection/18308587-16261568, http://linkedlifedata.com/resource/pubmed/commentcorrection/18308587-17148824, http://linkedlifedata.com/resource/pubmed/commentcorrection/18308587-1948051, http://linkedlifedata.com/resource/pubmed/commentcorrection/18308587-2370348, http://linkedlifedata.com/resource/pubmed/commentcorrection/18308587-8134596, http://linkedlifedata.com/resource/pubmed/commentcorrection/18308587-8372199
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
1053-8119
pubmed:author
pubmed:issnType
Print
pubmed:day
15
pubmed:volume
40
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1130-43
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
A novel technique for modeling susceptibility-based contrast mechanisms for arbitrary microvascular geometries: the finite perturber method.
pubmed:affiliation
JHU ICMIC Program, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural