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15 February 2021 Single-shot three-dimensional reconstruction for colonoscopic image analysis
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Abstract
We propose a method for the three-dimensional reconstruction from a single-shot colonoscopic image. Extracting a three-dimensional colon structure is an important task in colonoscopy. However, a colonoscope captures only two-dimensional information as colonoscopic images. Therefore, an estimation of three-dimensional information from two-dimensional images has potential demands. In this paper, we integrate deep-learning-based depth estimation to three-dimensional reconstruction. This approach omits the inaccurate corresponding matching from the procedure of conventional three-dimensional reconstruction. We experimentally demonstrated accurate reconstructions with comparisons between a polyp size in three-dimensional reconstruction and an endoscopist's measurement.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hayato Itoh, Masahiro Oda, Yuichi Mori, Masashi Misawa, Shin-ei Kudo, Kinnichi Hotta, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, and Kensaku Mori "Single-shot three-dimensional reconstruction for colonoscopic image analysis", Proc. SPIE 11598, Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling, 115980E (15 February 2021); https://doi.org/10.1117/12.2582660
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