Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2006-1-9
pubmed:abstractText
We performed neural network clustering on dynamic contrast-enhanced perfusion magnetic resonance imaging time-series in patients with and without stroke. Minimal-free-energy vector quantization, self-organizing maps, and fuzzy c-means clustering enabled self-organized data-driven segmentation with respect to fine-grained differences of signal amplitude and dynamics, thus identifying asymmetries and local abnormalities of brain perfusion. We conclude that clustering is a useful extension to conventional perfusion parameter maps.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
0278-0062
pubmed:author
pubmed:issnType
Print
pubmed:volume
25
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
62-73
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed-meshheading:16398415-Algorithms, pubmed-meshheading:16398415-Artificial Intelligence, pubmed-meshheading:16398415-Brain, pubmed-meshheading:16398415-Brain Mapping, pubmed-meshheading:16398415-Cerebrovascular Circulation, pubmed-meshheading:16398415-Cluster Analysis, pubmed-meshheading:16398415-Contrast Media, pubmed-meshheading:16398415-Echo-Planar Imaging, pubmed-meshheading:16398415-Humans, pubmed-meshheading:16398415-Image Enhancement, pubmed-meshheading:16398415-Image Interpretation, Computer-Assisted, pubmed-meshheading:16398415-Imaging, Three-Dimensional, pubmed-meshheading:16398415-Information Storage and Retrieval, pubmed-meshheading:16398415-Pattern Recognition, Automated, pubmed-meshheading:16398415-Reproducibility of Results, pubmed-meshheading:16398415-Sensitivity and Specificity, pubmed-meshheading:16398415-Stroke, pubmed-meshheading:16398415-Time Factors
pubmed:year
2006
pubmed:articleTitle
Cluster analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series.
pubmed:affiliation
Department of Electrical and Computer Engineering, Florida State University, Tallahassee, FL 32310-6046, USA.
pubmed:publicationType
Journal Article, Clinical Trial