Construction of a 3D Model of Kidney Using Visual SLAM and Deep Learning with Robotic Ultrasound
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- ISHIKAWA Tomohiro
- University of Electro-Communications
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- KOIZUMI Norihiro
- University of Electro-Communications
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- NISHIYAMA Yu
- University of Electro-Communications
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- ZHOU Jiayi
- University of Electro-Communications
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- WATANABE Yusuke
- University of Electro-Communications
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- FUJIBAYASHI Takumi
- University of Electro-Communications
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- MATSUYAMA Momoko
- University of Electro-Communications
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- YAMADA Miyu
- University of Electro-Communications
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- TSUKIHARA Hiroyuki
- University of Tokyo
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- NUMATA Kazushi
- Yokohama City University
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- YOSHINAKA Kiyoshi
- National Institute of Advanced Industrial Science and Technology
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- TSUMURA Ryosuke
- National Institute of Advanced Industrial Science and Technology
Bibliographic Information
- Other Title
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- 超音波診断ロボットによる腎臓の三次元モデル構築Visual SLAMおよび深層学習を援用した
Description
<p>Ultrasonography is less invasive and safer than MRI or CT. However, image acquisition is dependent on the skill of the probe operator, and it is difficult for an untrained examiner to understand the three-dimensional structure of the organ. For the above reason, we use a robot to acquire ultrasound images and estimate the position of the probe using Visual SLAM. The obtained images are segmented and combined with position information to construct a three-dimensional model of the organ. In this study, the right kidney of the phantom was used as the target, and the results of position estimation and segmentation accuracy were high. The model of the right kidney was constructed based on these results.</p>
Journal
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- The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
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The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2022 (0), 1P1-L04-, 2022
The Japan Society of Mechanical Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390576037461041152
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- ISSN
- 24243124
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- OpenAIRE
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- Abstract License Flag
- Disallowed