講演抄録/キーワード |
講演名 |
2016-07-26 10:30
Automatic blood vessel-based liver segmentation through the portal phase CT ○Ahmed Maklad・Mikio Matsuhiro・Hidenobu Suzuki・Yoshiki Kawata・Noboru Niki・Mitsuo Shimada(Tokushima University)・Gen Iinuma(National cancer center hospital) MI2016-41 |
抄録 |
(和) |
(まだ登録されていません) |
(英) |
Blood vessel (BV) has showed high performance at liver segmentation achieving rank 1 on sliver07. This method was semi-automatic including 5-interactions at the stage of abdominal blood vessel (ABV) segmentation and classification into hepatic (HBVs) and non-HBV. For full automation of this method, we propose an automatic segmentation of ABVs and subsequent classification into HBVs and non-HBVs. The proposed method comprises three stages. First, bone, kidneys, ABVs and heart candidates are automatically segmented. Second, bone is automatically segmented and classified into spine, ribs and pelvis. Third, ABV candidates are segmented by classifying kidneys and heart. A developed histogram based blood vessel segmentation is achieved. ABVs are classified into HBVs and non-HBVs. This method is applied to 20 datasets at the portal phase. Results are promising. |
キーワード |
(和) |
/ / / / / / / |
(英) |
liver segmentation / blood vessel / portal phase / computed tomography / abdominal / CT / / |
文献情報 |
信学技報, vol. 116, no. 160, MI2016-41, pp. 29-34, 2016年7月. |
資料番号 |
MI2016-41 |
発行日 |
2016-07-18 (MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
MI2016-41 |