Computer-Assisted System for Detecting Infiltration of Gastric Cancer

Hiroyuki Watabe, Toshiya Nakaguchi Toshiyuki Natsume, Hiromichi Aoyama, Hiroshi Kawahira4,
Ahmed Afifi and Norimichi Tsumura

Chiba University, ,Japan

Journal of Signal Processing, Vol.15, No.4, pp.307-310(July, 2011).

Abstract
It is strongly required to determine the occurrence of infiltration between the stomach and neighboring organs from only information prior to surgery such as a com- puted tomography (CT) scan. In this study, we propose a new quantitative index to indicate the infiltration of gastric cancer by analyzing two CT images of the patient in different poses. The quantitative index of infil-
tration is obtained by calculating the relative movement of the stomach to the pancreas. To calculate this index, we perform three-step registration. Next, a displacement map around the pancreas and stomach is derived. To assist the diagnosis, the displacement map is illustrated with intensity and superposed onto the CT image. The proposed method was applied to eleven subjects and the efficacy of the proposed index was confirmed.

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