Brain lesion detection in MRI with fuzzy and geostatistical models
2010 (English)Conference paper (Refereed)Text
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
2010. 3150-3153 p.
, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, ISSN 1094-687X
Medical Image Processing
IdentifiersURN: urn:nbn:se:liu:diva-127897DOI: 10.1109/IEMBS.2010.5627188PubMedID: 21096593ISBN: 978-1-4244-4123-5OAI: oai:DiVA.org:liu-127897DiVA: diva2:928906
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology. Aug. 31 2010-Sept. 4 2010 Buenos Aires