Title :
Fuzzy clustering of CT images for the measurement of hydrocephalus associated with tuberculous meningitis
Author :
Halberstadt, W. ; Douglas, T.S.
Author_Institution :
Dept. of Human Biol., Cape Town Univ., Rondebosch
Abstract :
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
Keywords :
brain; computerised tomography; diseases; fuzzy set theory; image segmentation; medical image processing; paediatrics; statistical analysis; CT images; brain; children; computed tomography; fuzzy c-means clustering; hydrocephalus; image segmentation; tuberculous meningitis diagnosis; ventricle/brain ratio; Brain; Clustering algorithms; Computed tomography; Diseases; Fuzzy sets; Image segmentation; Magnetic resonance imaging; Partitioning algorithms; Pediatrics; Volume measurement;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615342
