Linked Life Data

18664857

Source:http://linkedlifedata.com/resource/pubmed/id/18664857

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2008-7-30
pubmed:abstractText
Heterogeneity analysis has been studied for radiological imaging, but few methods have been developed for functional images. Diffuse heterogeneous perfusion frequently appears in brain single photon emission computed tomography (SPECT) images, but objective quantification is lacking. An automatic method, based on random walk (RW) theory, has been developed to quantify perfusion heterogeneity. We assess the robustness of our algorithm in differentiating levels of diffuse heterogeneity even when focal defects are present.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1532-3145
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
32
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
651-9
pubmed:meshHeading
pubmed:articleTitle
Development and validation of the random walk algorithm: application to the classification of diffuse heterogeneity in brain SPECT perfusion images.
pubmed:affiliation
LITIS Laboratory, Faculty of Medicine, Rouen University, Rouen, France. romain.modzelewski@rouen.fnclcc.fr
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Validation Studies