| Cluster analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series. | |
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MedLine Citation:
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PMID: 16398415 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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A Wismüller; A Meyer-Baese; O Lange; M F Reiser; G Leinsinger |
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Publication Detail:
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Type: Clinical Trial; Journal Article |
Journal Detail:
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Title: IEEE transactions on medical imaging Volume: 25 ISSN: 0278-0062 ISO Abbreviation: IEEE Trans Med Imaging Publication Date: 2006 Jan |
Date Detail:
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Created Date: 2006-01-09 Completed Date: 2006-02-01 Revised Date: 2007-11-15 |
Medline Journal Info:
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Nlm Unique ID: 8310780 Medline TA: IEEE Trans Med Imaging Country: United States |
Other Details:
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Languages: eng Pagination: 62-73 Citation Subset: IM |
Affiliation:
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Department of Electrical and Computer Engineering, Florida State University, Tallahassee, FL 32310-6046, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Artificial Intelligence Brain / blood supply*, pathology* Brain Mapping / methods* Cerebrovascular Circulation Cluster Analysis Contrast Media Echo-Planar Imaging / methods* Humans Image Enhancement / methods* Image Interpretation, Computer-Assisted / methods* Imaging, Three-Dimensional / methods Information Storage and Retrieval / methods Pattern Recognition, Automated / methods Reproducibility of Results Sensitivity and Specificity Stroke / diagnosis* Time Factors |
| Chemical | |
Reg. No./Substance:
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0/Contrast Media |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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