Automatic Registration for Superimposed Display of Organs for a Development of Laparoscopic Surgery Navigation

To support laparoscopic surgery which requires a high level of skill from the surgeon, we have developed a system that superimposes endoscopic images and kidney models by using augmented reality (AR) technology and considers intraoperative organ deformation. In this paper, we propose a real-time automatic alignment method for the superimposed display of endoscopic images and kidney models. This method uses feature points (markers) around the organ as reference points to align the endoscopic image in real space and the CG model in virtual space. To verify the accuracy of the proposed method, we evaluate the error between the real space and the virtual space on the superimposed display screen.

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Publication Details

Journal
Journal of the Robotics Society of Japan
Published
2025-01-01
DOI
https://doi.org/10.7210/jrsj.43.218
Primary Topic
Surgical Simulation and Training
Type
article
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article

Automatic Registration for Superimposed Display of Organs for a Development of Laparoscopic Surgery Navigation

Kazuya Sase, Xiaoshuai Chen, Shunsuke Komizunai, Teppei Tsujita et al.
Journal of the Robotics Society of Japan
Surgical Simulation and Training
article

Automatic Registration for Superimposed Display of Organs for a Development of Laparoscopic Surgery Navigation

Kazuya Sase, Xiaoshuai Chen, Shunsuke Komizunai, Teppei Tsujita, Yoshifumi Kobayashi, Atsushi Konno, Kazuhiko Oka
article en

Abstract

To support laparoscopic surgery which requires a high level of skill from the surgeon, we have developed a system that superimposes endoscopic images and kidney models by using augmented reality (AR) technology and considers intraoperative organ deformation. In this paper, we propose a real-time automatic alignment method for the superimposed display of endoscopic images and kidney models. This method uses feature points (markers) around the organ as reference points to align the endoscopic image in real space and the CG model in virtual space. To verify the accuracy of the proposed method, we evaluate the error between the real space and the virtual space on the superimposed display screen.

Journal of the Robotics Society of JapanVol. 43(2)
Hirosaki University (JP), Kagawa University (JP), Hokkaido University (JP), Tohoku Gakuin University (JP), National Defense Academy of Japan (JP)
Openalex Percentile: Top 91%
Surgical Simulation and Training
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Automatic Registration for Superimposed Display of Organs for a Development of Laparoscopic Surgery Navigation — Kazuya Sase, Xiaoshuai Chen, et al. · Journal of the Robotics Society of Japan (2025) | TGRS Research Map | TGRS