Paper
3 April 2023 Hyperspectral imaging and detection mapping of in vivo biological tissues applying near-infrared laparoscope
R. Fukushima, T. Takamatsu, A. Mori, K. Sato, K. Okubo, M. Umezawa, N. Takeshita, H. Hasegawa, H. Yokota, K. Soga, H. Takemura
Author Affiliations +
Abstract
Two main features of near-infrared (NIR) light are the ability to perform component analysis based on spectral differences and to have permeability to biological tissues. These features make the technology to acquire NIR spectral of the deep lesion and analyze the components by each pixel, called hyperspectral imaging (HSI). Mounting this technology to a laparoscope enables visualization of invisible or looking-similar tissues in visible light during laparoscopic surgery. In this research, the developed NIR-HSI laparoscopic device acquired NIR spectrum images on in vivo pig specimens. Through the experiments, the difference in spectrum between the artery and surrounding other tissues was confirmed. Additionally, a machine learning procedure provided high accuracy detection of the artery area; accuracy, precision, and recall are 0.868 %, 0.921 %, and 0.637 % respectively.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. Fukushima, T. Takamatsu, A. Mori, K. Sato, K. Okubo, M. Umezawa, N. Takeshita, H. Hasegawa, H. Yokota, K. Soga, and H. Takemura "Hyperspectral imaging and detection mapping of in vivo biological tissues applying near-infrared laparoscope", Proc. SPIE 12466, Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling, 124662K (3 April 2023); https://doi.org/10.1117/12.2653684
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KEYWORDS
Near infrared

Laparoscopy

Arteries

Nervous system

Tissues

In vivo imaging

Visible radiation

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