For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
ICA Mixture Analysis of Four-Phase Abdominal CT Images
Xuebin HU Akinobu SHIMIZU Hidefumi KOBATAKE Shigeru NAWANO
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2004/11/01
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Biological Engineering
ICA mixture model, four-phase CT images, segmentation, tumor detection,
Full Text: PDF(546.1KB)
>>Buy this Article
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.