| Presentation | 2014-09-02 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, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | 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. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | blood vessel / liver segmentation / CT image / portal phase |
| Paper # | MI2014-40 |
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| Committee | MI |
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| Conference Date | 2014/8/26(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Medical Imaging (MI) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Automatic blood vessel-based liver segmentation through the portal phase abdominal CT dataset |
| Sub Title (in English) | |
| Keyword(1) | blood vessel |
| Keyword(2) | liver segmentation |
| Keyword(3) | CT image |
| Keyword(4) | portal phase |
| 1st Author's Name | Ahmed S. Maklad |
| 1st Author's Affiliation | Institute of Technology and Science, The University of Tokushima() |
| 2nd Author's Name | Mikio Matsuhiro |
| 2nd Author's Affiliation | Institute of Technology and Science, The University of Tokushima |
| 3rd Author's Name | Hidenobu Suzuki |
| 3rd Author's Affiliation | Institute of Technology and Science, The University of Tokushima |
| 4th Author's Name | Yoshiki Kawata |
| 4th Author's Affiliation | Institute of Technology and Science, The University of Tokushima |
| 5th Author's Name | Noboru Niki |
| 5th Author's Affiliation | Institute of Technology and Science, The University of Tokushima |
| 6th Author's Name | Mitsuo Shimada |
| 6th Author's Affiliation | Institute of Health Biosciences, The University of Tokushima |
| Date | 2014-09-02 |
| Paper # | MI2014-40 |
| Volume (vol) | vol.114 |
| Number (no) | 200 |
| Page | pp.pp.- |
| #Pages | 5 |
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