Development of a data fusion system using color information for real-time intraoperative liver surface measurement

Miyuki Uematsu; Naoki Suzuki; Aasaki Hattori; Yoshito Otake; Mitsuhiro Hayashibe; Shigeyuki Suzuki; Akihiko Uchiyama

doi:10.3233/978-1-60750-938-7-367

Development of a data fusion system using color information for real-time intraoperative liver surface measurement

Miyuki Uematsu, Naoki Suzuki, Aasaki Hattori, Yoshito Otake, Mitsuhiro Hayashibe, Shigeyuki Suzuki, Akihiko Uchiyama

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The goal of our study is to develop a data fusion system, which enables surgeons to easily visualize the inner structures of elastic organs during open surgery. We chose the liver as the focus of this study due to its easily deformable nature and complex vascular structures. To do so, we propose using preoperative data and supplementary intraoperative data We captured a sequence of liver surface data for the intraoperative data by using trinocular stereo and we applied them to the preoperative 3D model's surface. Then, we modified the model to fit the intraoperative liver condition and portrayed the model's inner structures. With this method, we could establish this system.

Original language	English
Title of host publication	Medicine Meets Virtual Reality 11 - NextMed
Subtitle of host publication	Health Horizon
Publisher	IOS Press
Pages	367-369
Number of pages	3
ISBN (Print)	1586033204, 9781586033200
DOIs	https://doi.org/10.3233/978-1-60750-938-7-367
Publication status	Published - 2003
Externally published	Yes
Event	11th Annual Medicine Meets Virtual Reality Conference, MMVR 2003 - Newport Beach, CA, United States Duration: 2003 Jan 22 → 2003 Jan 25

Publication series

Name	Studies in Health Technology and Informatics
Volume	94
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	11th Annual Medicine Meets Virtual Reality Conference, MMVR 2003
Country/Territory	United States
City	Newport Beach, CA
Period	03/1/22 → 03/1/25

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

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10.3233/978-1-60750-938-7-367

Cite this

Uematsu, M., Suzuki, N., Hattori, A., Otake, Y., Hayashibe, M., Suzuki, S., & Uchiyama, A. (2003). Development of a data fusion system using color information for real-time intraoperative liver surface measurement. In Medicine Meets Virtual Reality 11 - NextMed: Health Horizon (pp. 367-369). (Studies in Health Technology and Informatics; Vol. 94). IOS Press. https://doi.org/10.3233/978-1-60750-938-7-367

Development of a data fusion system using color information for real-time intraoperative liver surface measurement. / Uematsu, Miyuki; Suzuki, Naoki; Hattori, Aasaki et al.
Medicine Meets Virtual Reality 11 - NextMed: Health Horizon. IOS Press, 2003. p. 367-369 (Studies in Health Technology and Informatics; Vol. 94).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Uematsu, M, Suzuki, N, Hattori, A, Otake, Y, Hayashibe, M, Suzuki, S & Uchiyama, A 2003, Development of a data fusion system using color information for real-time intraoperative liver surface measurement. in Medicine Meets Virtual Reality 11 - NextMed: Health Horizon. Studies in Health Technology and Informatics, vol. 94, IOS Press, pp. 367-369, 11th Annual Medicine Meets Virtual Reality Conference, MMVR 2003, Newport Beach, CA, United States, 03/1/22. https://doi.org/10.3233/978-1-60750-938-7-367

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AB - The goal of our study is to develop a data fusion system, which enables surgeons to easily visualize the inner structures of elastic organs during open surgery. We chose the liver as the focus of this study due to its easily deformable nature and complex vascular structures. To do so, we propose using preoperative data and supplementary intraoperative data We captured a sequence of liver surface data for the intraoperative data by using trinocular stereo and we applied them to the preoperative 3D model's surface. Then, we modified the model to fit the intraoperative liver condition and portrayed the model's inner structures. With this method, we could establish this system.

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Development of a data fusion system using color information for real-time intraoperative liver surface measurement

Abstract

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