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Computer-aided Diagnostic System Based on Liver CT image

By Jae-sung Hong T, Toyohisa Kaneko, Ryuzo Sekiguchi and Kil-houm Park


This paper proposes an automatic system which can perform the entire diagnostic process from the extraction of the liver to the recognition of a tumor. In particular, the proposed technique uses shape information to identify and recognize a lesion adjacent to the border of the liver, which can otherwise be missed. In addition, since the intensity of a lesion can vary greatly according to the patient and the slice taken, a decision on the threshold for extraction is not easy. Accordingly, the proposed method extracts the lesion by means of a Fuzzy c-Means clustering technique, which can determine the threshold regardless of a changing intensity. Based on experimental results, these processes produced a high recognition rate above 92%.

Year: 2009
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