Colonoscope tracking method based on shape estimation network

Oda M, Roth HR, Kitasaka T, Furukawa K, Miyahara R, Hirooka Y, Navab N, Mori K (2019)

Publication Type: Conference contribution

Publication year: 2019

Journal

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Publisher: SPIE

Book Volume: 10951

Conference Proceedings Title: Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Event location: San Diego, CA, USA

ISBN: 9781510625495

DOI: 10.1117/12.2512729

Abstract

This paper presents a colonoscope tracking method utilizing a colon shape estimation method. CT colonography is used as a less-invasive colon diagnosis method. If colonic polyps or early-stage cancers are found, they are removed in a colonoscopic examination. In the colonoscopic examination, understanding where the colonoscope running in the colon is difficult. A colonoscope navigation system is necessary to reduce overlooking of polyps. We propose a colonoscope tracking method for navigation systems. Previous colonoscope tracking methods caused large tracking errors because they do not consider deformations of the colon during colonoscope insertions. We utilize the shape estimation network (SEN), which estimates deformed colon shape during colonoscope insertions. The SEN is a neural network containing long short-term memory (LSTM) layer. To perform colon shape estimation suitable to the real clinical situation, we trained the SEN using data obtained during colonoscope operations of physicians. The proposed tracking method performs mapping of the colonoscope tip position to a position in the colon using estimation results of the SEN. We evaluated the proposed method in a phantom study. We confirmed that tracking errors of the proposed method was enough small to perform navigation in the ascending, transverse, and descending colons.

Involved external institutions

Nagoya University / 名古屋大学 JP Japan (JP) Aichi Institute of Technology (AIT) / 愛知工業大学 JP Japan (JP) Nagoya University Hospital / 名古屋大学医学部附属病院 JP Japan (JP) Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Oda, M., Roth, H.R., Kitasaka, T., Furukawa, K., Miyahara, R., Hirooka, Y.,... Mori, K. (2019). Colonoscope tracking method based on shape estimation network. In Baowei Fei, Cristian A. Linte (Eds.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. San Diego, CA, USA: SPIE.

MLA:

Oda, Masahiro, et al. "Colonoscope tracking method based on shape estimation network." Proceedings of the Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, CA, USA Ed. Baowei Fei, Cristian A. Linte, SPIE, 2019.

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