Computed tomography is used as an aid in the diagnosis of tuberculous meningitis (TBM) for the examination of a number of visual indicators of the disease. We present an algorithm that uses modified fuzzy c-means clustering to segment CT images of the brain into different tissue types. The ventricle/brain ratio is then calculated to measure hydrocephalus, a common sign of TBM in children.
Fuzzy clustering of CT images for the measurement of hydrocephalus associated with tuberculous meningitis. Publishing Authors By Initials
Fuzzy clustering of CT images for the measurement of hydrocephalus associated with tuberculous meningitis. Journal Published:
PUBLICATION TYPE: Journal Article
Journal: Conference proceedings : ... Annual International
VOLUME: 4
Page Numbers: 4014-6
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ISSN: 1557-170X
DAY: 6
MONTH: 02
YEAR: 2005
Fuzzy clustering of CT images for the measurement of hydrocephalus associated with tuberculous meningitis. Information
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LANGUAGE: eng
NlmUniqueID: 101243413
Fuzzy clustering of CT images for the measurement of hydrocephalus associated with tuberculous meningitis. Keywords Mesh Terms:
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Chemical & Substance for Abstract: Fuzzy clustering of CT images for the measurement of hydrocephalus associated with tuberculous meningitis. Information
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Grant and Affiliation Information for Fuzzy clustering of CT images for the measurement of hydrocephalus associated with tuberculous meningitis.
AFFILIATION: MRC/UCT Medical Imaging Research Unit, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, South Africa.
Country: United States
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MEDLINETA: Conf Proc IEEE Eng Med Biol So
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