Segmentation algorithm of colon based on multi-slice CT colonography

Yizhong Hu; Mohammed Shabbir Ahamed; Eiji Takahashi; Hidenobu Suzuki; Yoshiki Kawata; Noboru Niki; Masahiro Suzuki; Gen Iinuma; Noriyuki Moriyama

doi:10.1117/12.911706

14 February 2012 Segmentation algorithm of colon based on multi-slice CT colonography

Yizhong Hu, Mohammed Shabbir Ahamed, Eiji Takahashi, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Masahiro Suzuki, Gen Iinuma, Noriyuki Moriyama

Author Affiliations +

Proceedings Volume 8314, Medical Imaging 2012: Image Processing; 831438 (2012) https://doi.org/10.1117/12.911706
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

CT colonography is a radiology test that looks at people's large intestines(colon). CT colonography can screen many options of colon cancer. This test is used to detect polyps or cancers of the colon. CT colonography is safe and reliable. It can be used if people are too sick to undergo other forms of colon cancer screening. In our research, we proposed a method for automatic segmentation of the colon from abdominal computed Tomography (CT) images. Our multistage detection method extracted colon and spited colon into different parts according to the colon anatomy information. We found that among the five segmented parts of the colon, sigmoid (20%) and rectum (50%) are more sensitive toward polyps and masses than the other three parts. Our research focused on detecting the colon by the individual diagnosis of sigmoid and rectum. We think it would make the rapid and easy diagnosis of colon in its earlier stage and help doctors for analysis of correct position of each part and detect the colon rectal cancer much easier.

Citation Download Citation

Yizhong Hu, Mohammed Shabbir Ahamed, Eiji Takahashi, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Masahiro Suzuki, Gen Iinuma, and Noriyuki Moriyama "Segmentation algorithm of colon based on multi-slice CT colonography", Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 831438 (14 February 2012); https://doi.org/10.1117/12.911706

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