Development of automated extraction method of biliary tract from abdominal CT volumes based on local intensity structure analysis

被引:2
作者
Koga, Kusuto [1 ]
Hayashi, Yuichiro [2 ]
Hirose, Tomoaki
Oda, Masahiro [1 ]
Kitasaka, Takayuki [4 ]
Igami, Tsuyoshi [3 ]
Nagino, Masato [3 ]
Mori, Kensaku [1 ,2 ]
机构
[1] Nagoya Univ, Grad Sch Informat Sci, Chikusa Ku, Furo Cho, Nagoya, Aichi 4648603, Japan
[2] Nagoya Univ, Strategy Off Informat & Commun Headquarters, Chikusa Ku, Nagoya, Aichi 4648603, Japan
[3] Nagoya Univ, Grad Sch Med, Dept Surg, Div Surg,Showa Ku, Nagoya, Aichi 4648603, Japan
[4] Aichi Inst Technol, Fac Informat Sci, Aichi 4700392, Japan
来源
MEDICAL IMAGING 2014: IMAGE PROCESSING | 2014年 / 9034卷
关键词
Local intensity structure analysis; biliary tract; bile duct; biliary dilation; segmentation; SEGMENTATION; MODEL;
D O I
10.1117/12.2043347
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
In this paper, we propose an automated biliary tract extraction method from abdominal CT volumes. The biliary tract is the path by which bile is transported from liver to the duodenum. No extraction method have been reported for the automated extraction of the biliary tract from common contrast CT volumes. Our method consists of three steps including: (1) extraction of extrahepatic bile duct (EHBD) candidate regions, (2) extraction of intrahepatic bile duct (IHBD) candidate regions, and (3) combination of these candidate regions. The IHBD has linear structures and intensities of the IHBD are low in CT volumes. We use a dark linear structure enhancement (DLSE) filter based on a local intensity structure analysis method using the eigenvalues of the Hessian matrix for the IHBD candidate region extraction. The EHBD region is extracted using a thresholding process and a connected component analysis. In the combination process, we connect the IHBD candidate regions to each EHBD candidate region and select a bile duct region from the connected candidate regions. We applied the proposed method to 22 cases of CT volumes. An average Dice coefficient of extraction result was 66.7%.
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页数:10
相关论文
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