講演抄録/キーワード |
講演名 |
2014-09-02 14:40
Automatic blood vessel-based liver segmentation through the portal phase abdominal CT dataset ○Ahmed S. Maklad・Mikio Matsuhiro・Hidenobu Suzuki・Yoshiki Kawata・Noboru Niki・Mitsuo Shimada(Univ. of Tokushima) MI2014-40 |
抄録 |
(和) |
Blood vessel (BV) based liver segmentation has showed high performance [1] achieving rank 1 on sliver07 (the official website for liver segmentation). This method is semi-automatic including small number of interactions in segmentation and classification of abdominal blood vessel (ABVs) stage. For mainly full automation of this method, we propose an automatic method for ABVs segmentation through contract enhanced CT images. Volumetry of bone, kidneys and BVs in the abdomen are estimated and used for ABVs segmentation based on shape and location information.
[1] A. S. Maklad, et al., Medical Physics, vol. 40, no. 11, 113501 (17pp.), 2013. |
(英) |
Blood vessel (BV) based liver segmentation has showed high performance [1] achieving rank 1 on sliver07 (the official website for liver segmentation). This method is semi-automatic including small number of interactions in segmentation and classification of abdominal blood vessel (ABVs) stage. For mainly full automation of this method, we propose an automatic method for ABVs segmentation through contract enhanced CT images. Volumetry of bone, kidneys and BVs in the abdomen are estimated and used for ABVs segmentation based on shape and location information.
[1] A. S. Maklad, et al., Medical Physics, vol. 40, no. 11, 113501 (17pp.), 2013. |
キーワード |
(和) |
blood vessel / liver segmentation / CT image / portal phase / / / / |
(英) |
blood vessel / liver segmentation / CT image / portal phase / / / / |
文献情報 |
信学技報, vol. 114, no. 200, MI2014-40, pp. 27-31, 2014年9月. |
資料番号 |
MI2014-40 |
発行日 |
2014-08-26 (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 |
MI2014-40 |