Liver cancer detection by using transition features obtained from multi-phase CT images

Shigeto Watanabe; Yoshito Mekada; Junichi Hasegawa; Junichiro Toriwaki

doi:10.1117/12.595085

29 April 2005 Liver cancer detection by using transition features obtained from multi-phase CT images

Shigeto Watanabe, Yoshito Mekada, Junichi Hasegawa, Junichiro Toriwaki

Author Affiliations +

Proceedings Volume 5747, Medical Imaging 2005: Image Processing; (2005) https://doi.org/10.1117/12.595085
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

This paper presents a method for automated detection of liver cancer regions based on transition of density at each point obtained from multi-phase X-ray CT images. For describing transition of density, two kinds of feature vectors named Density Transition (DT) and Density Change Transition (DCT) are introduced. DCT is used for extraction of cancer candidates and DT is used for suppression of false candidates. In the experiments using 14 real abdominal CT images with cancer, it was shown that the detection rate was 100% and the number of false-positives was 0.71 regions per case.

Citation Download Citation

Shigeto Watanabe, Yoshito Mekada, Junichi Hasegawa, and Junichiro Toriwaki "Liver cancer detection by using transition features obtained from multi-phase CT images", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); https://doi.org/10.1117/12.595085

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