Poster
30 March 2024 Non-invasive imaging of exposed nerves in vivo with near-infrared hyperspectral laparoscopic devices
Ryodai Fukushima, Toshihiro Takamatsu, Konosuke Sato, Kyohei Okubo, Masakazu Umezawa, Nobuhiro Takeshita, Hiro Hasegawa, Hideo Yokota, Kohei Soga, Hiroshi Takemura
Author Affiliations +
Conference Poster
Abstract
Laparoscopic surgery is a minimally invasive way of cancer resection, which is expected to increase in number. However, because a typical laparoscope can only receive visible light, there is a risk of accidentally damaging nerves that are similar in color to other tissues. To solve this problem, near-infrared (NIR) light (approximately 700-2,500 nm) is considered to be effective because of its feature; component analysis based on the molecular vibrations specific to biomolecules. Previously, we have developed NIR multispectral imaging (MSI) laparoscopy, which acquires NIR spectrum at 14 wavelengths with a band-pass filter. However, since the wavelength is limited, the optimal wavelength for identification cannot be studied. In this study, we developed the world's first laparoscopic device capable of NIR hyperspectral imaging (HSI) with an increased number of wavelengths. Furthermore, NIR-HSI was conducted in a living pig, and the machine-learning was demonstrated to identify nerves and other tissues; accuracy was 0.907.
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ryodai Fukushima, Toshihiro Takamatsu, Konosuke Sato, Kyohei Okubo, Masakazu Umezawa, Nobuhiro Takeshita, Hiro Hasegawa, Hideo Yokota, Kohei Soga, and Hiroshi Takemura "Non-invasive imaging of exposed nerves in vivo with near-infrared hyperspectral laparoscopic devices", Proc. SPIE 12928, Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling, 129281X (30 March 2024); https://doi.org/10.1117/12.3006474
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KEYWORDS
Laparoscopy

Imaging devices

In vivo imaging

Near infrared

Nervous system

Surgery

Tissues

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