대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)
- 대한전자공학회 2000년도 ITC-CSCC -1
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- Pages.39-42
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- 2000
Advanced Liver Segmentation by Using Pixel Ratio in Abdominal CT Image
- Yoo, Seung-Wha (Dept. of Information Communications Engineering, Chungnam Nation University) ;
- Cho, Jun-Sik (Dept. of Diagnostic Radiology, Chungnam Nation University) ;
- Noh, Seung-Mo (Dept. of General Surgery, Chungnam National University) ;
- Shin, Kyung-Suk (Dept. of Diagnostic Radiology, Chungnam Nation University) ;
- Park, Jong-Won (Dept. of Information Communications Engineering, Chungnam Nation University)
- 발행 : 2000.07.01
초록
In our study, by observing and analyzing normal liver in abdominal CT image, we estimated gray value range and generated binary image. In the binary image, we achieved the number of hole which is located between pixels. Depending on the ratio, we processed the input image to 4 kinds of mesh images to remove the noise part that has the different ratio. With the Union image of 4 kinds of mesh images, we generated the template representing general outline of liver and subtracted from the binary image so the we can represent the organ boundary to be minute. With results of proposed method, processing time is reduced compared with existing method and we compared the result image to manual image of medical specialists.
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