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ICA Mixture Analysis of Four-Phase Abdominal CT Images Xuebin HU Akinobu SHIMIZU Hidefumi KOBATAKE Shigeru NAWANO Publication IEICE TRANSACTIONS on Information and Systems Vol.E87-D No.11 pp.2521-2525 Publication Date: 2004/11/01 Online ISSN: DOI: Print ISSN: 0916-8532 Type of Manuscript: LETTER Category: Biological Engineering Keyword: ICA mixture model, four-phase CT images, segmentation, tumor detection, Full Text: PDF(546.1KB)>>
Summary: This paper presents a new analysis result of two-dimensional four-phase abdominal CT images using variational Bayesian mixture of ICA. The four-phase CT images are assumed to be comprised of several exclusive areas, and each area is generated by a set of corresponding independent components. ICA mixture analysis results show that the CT images could be divided into a set of clinically and anatomically meaningful components. Initial analysis of the independent components shows its promising prospects in medical image processing and computer-aided diagnosis. | ||||||||||
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