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Brain lesion detection in MRI with fuzzy and geostatistical models
School of Engineering and Information Technology, University of New South Wales, Canberra, Australia.ORCID iD: 0000-0002-4255-5130
2010 (English)Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]

Automated image detection of white matter changes of the brain is essentially helpful in providing a quantitative measure for studying the association of white matter lesions with other types of biomedical data. Such study allows the possibility of several medical hypothesis validations which lead to therapeutic treatment and prevention. This paper presents a new clustering-based segmentation approach for detecting white matter changes in magnetic resonance imaging with particular reference to cognitive decline in the elderly. The proposed method is formulated using the principles of fuzzy c-means algorithm and geostatistics.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2010. 3150-3153 p.
Series
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, ISSN 1094-687X
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-127897DOI: 10.1109/IEMBS.2010.5627188ISI: 000287964003136PubMedID: 21096593Scopus ID: 2-s2.0-78650829975ISBN: 978-1-4244-4123-5 (print)OAI: oai:DiVA.org:liu-127897DiVA: diva2:928906
Conference
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology. Buenos Aires, Argentina, 31 Aug.-4 Sept. 2010
Available from: 2016-05-17 Created: 2016-05-13 Last updated: 2017-06-29Bibliographically approved

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Pham, Tuan D
Medical Image Processing

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
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  • nn-NB
  • sv-SE
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Output format
  • html
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  • asciidoc
  • rtf