| A fuzzy logic approach to identifying brain structures in MRI using expert anatomic knowledge. | |
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MedLine Citation:
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PMID: 10587468 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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We report a novel computer method for automatic labeling of structures in 3D MRI data sets using expert anatomical knowledge that is coded in fuzzy sets and fuzzy rules. The method first identifies major structures and then uses spatial relationships to these landmarks to recognize other structures. This labeling process simulates the iterative process that we ourselves use to locate structures in images. We demonstrate its application in three data sets, labeling brain MRI by locating the longitudinal and lateral fissures and the central sulci and then determining boundaries for the frontal lobes. Our method is adaptable to the identification of other anatomical structures. |
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Authors:
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G R Hillman; C W Chang; H Ying; J Yen; L Ketonen; T A Kent |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, U.S. Gov't, P.H.S. |
Journal Detail:
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Title: Computers and biomedical research, an international journal Volume: 32 ISSN: 0010-4809 ISO Abbreviation: Comput. Biomed. Res. Publication Date: 1999 Dec |
Date Detail:
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Created Date: 2000-02-24 Completed Date: 2000-02-24 Revised Date: 2007-11-14 |
Medline Journal Info:
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Nlm Unique ID: 0100331 Medline TA: Comput Biomed Res Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 503-16 Citation Subset: IM |
Copyright Information:
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Copyright 1999 Academic Press. |
Affiliation:
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Department of Pharmacology, University of Texas Medical Branch, Galveston 77555, USA. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Brain
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anatomy & histology* Computer Simulation Data Interpretation, Statistical Expert Systems Fuzzy Logic* Humans Magnetic Resonance Imaging / statistics & numerical data* Models, Anatomic Models, Neurological |
| Grant Support | |
ID/Acronym/Agency:
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NS-21889/NS/NINDS NIH HHS; R03 MH49552/MH/NIMH NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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