title: Independent component analysis of dynamic contrast-enhanced computed tomography images.
abstract: Independent component analysis (ICA) was applied on dynamic contrast-enhanced computed tomography images of cerebral tumours to extract spatial component maps of the underlying vascular structures, which correspond to different haemodynamic phases as depicted by the passage of the contrast medium. The locations of arteries, veins and tumours can be separately identified on these spatial component maps. As the contrast enhancement behaviour of the cerebral tumour differs from the normal tissues, ICA yields a tumour component map that reveals the location and extent of the tumour. Tumour outlines can be generated using the tumour component maps, with relatively simple segmentation methods.
authors.affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore 639798. etskoh@ntu.edu.sg
authors.forename: T S
authors.initials: TS
authors.lastname: Koh
authors.forename: X
authors.initials: X
authors.lastname: Yang
authors.forename: S
authors.initials: S
authors.lastname: Bisdas
authors.forename: C C T
authors.initials: CC
authors.lastname: Lim
mesh_terms: D000328:Adult; D000368:Aged; D001921:Brain / Q000473:pathology; D001932:Brain Neoplasms / Q000473:pathology; D003287:Contrast Media / Q000494:pharmacology*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008579:Meningioma / Q000473:pathology; D008875:Middle Aged; D009362:Neoplasm Metastasis; D013223:Statistics as Topic; D014057:Tomography, X-Ray Computed / Q000379:methods*
chemical_list: D003287:Contrast Media