| 講演名 | 2014-09-02 Automatic blood vessel-based liver segmentation through the portal phase abdominal CT dataset , |
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| 抄録(英) | Blood vessel (BV) has showed high performance at liver segmentation [1] achieving rank 1 on sliver07 (the official website for liver segmentation) as of August 3, 2014. This method of liver segmentation is semi-automatic including two stages: (1) semi-automatic abdominal blood vessels (ABVs) segmentation and (2) automatic liver segmentation based on segmented ABVs. First stage included three interactions in segmenting ABVs and one in classifying ABVs into hepatic and non-hepatic BVs. In this paper, we propose to develop ABVs segmentation to be fully automatic as a step for full automation of [1]. For automation of ABVs segmentation, average percentages of bone, kidneys and ABVs volumetries in the abdomen are estimated practically and separately. These volumetries are used for automatic ABVs segmentation based on shape and location information. Shapes of ABVs (tube-shaped) and kidneys (bean-shaped) are used to identify and segment kidneys automatically. By eliminating kidneys, bones and heart, ABVs are segmented. This method was applied to 50 datasets including diseased cases. Results shows that the proposed method is very promising at segmentation of ABVs. |
| キーワード(和) | |
| キーワード(英) | blood vessel / liver segmentation / CT image / portal phase |
| 資料番号 | MI2014-40 |
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| 研究会 | MI |
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| 開催期間 | 2014/8/26(から1日開催) |
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| 申込み研究会 | Medical Imaging (MI) |
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| 本文の言語 | ENG |
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| タイトル（英） | Automatic blood vessel-based liver segmentation through the portal phase abdominal CT dataset |
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| キーワード(1)（和/英） | / blood vessel |
| 第 1 著者 氏名（和/英） | / Ahmed S. Maklad |
| 第 1 著者 所属（和/英） | Institute of Technology and Science, The University of Tokushima |
| 発表年月日 | 2014-09-02 |
| 資料番号 | MI2014-40 |
| 巻番号（vol） | vol.114 |
| 号番号（no） | 200 |
| ページ範囲 | pp.- |
| ページ数 | 5 |
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