Deformation analysis of human liver blood vessels by applying extension between ultrasound volumes
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- Okadome Kansai
- Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Technology, Tokyo, Japan
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- Yasuda Ikumu
- Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Technology, Tokyo, Japan
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- Katai Takuya
- Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Technology, Tokyo, Japan
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- Watamabe Kosuke
- Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Technology, Tokyo, Japan
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- Edamoto Yoshihiro
- Higashisaitama National Hospital, Saitama, Japan
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- Masuda Kohji
- Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Technology, Tokyo, Japan
Bibliographic Information
- Other Title
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- 超音波ボリューム中の血管網の拡張法を応用した肝臓血管の3次元変形解析
Abstract
<p>We are working to visualize 3D human blood vessel using ultrasound for an active drug delivery. The purpose of this study is improving the structural analysis method of blood vessel network (BVN) of human liver by applying three-dimensional extension to investigate BVN deformation. For the structural analysis in a BVN, bifurcation points were extracted using point cloud. And for the extension, the connected part was clarified using the position of the probe recorded by a position sensor. In the proposed method, since more accurate structure of BVNs was obtained, a wider liver BVNs from the right lobe to the left lobe could be obtained, where the maximum total path length was about 1200 mm in the largest BVN. Furthermore, we evaluated the deformation of BVNs quantitatively under the specific conditions as changing the subject's posture or breathing state.</p>
Journal
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- Transactions of Japanese Society for Medical and Biological Engineering
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Transactions of Japanese Society for Medical and Biological Engineering Annual58 (Proc), 596-597, 2020
Japanese Society for Medical and Biological Engineering
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Details 詳細情報について
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- CRID
- 1390285300181092352
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- NII Article ID
- 130007885293
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- ISSN
- 18814379
- 1347443X
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed