@inproceedings{d09d60ef20034b1fbc57a7b042b38a2a,
title = "Hyperspectral Imaging and Detection Mapping of In vivo Biological Tissues Applying Near-Infrared Laparoscope",
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.",
keywords = "NIR-HSI, in vivo, laparoscope, near-infrared, neural network, spectroscopy",
author = "R. Fukushima and T. Takamatsu and A. Mori and K. Sato and K. Okubo and M. Umezawa and N. Takeshita and H. Hasegawa and H. Yokota and K. Soga and H. Takemura",
note = "Publisher Copyright: {\textcopyright} 2023 SPIE.; Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling ; Conference date: 19-02-2023 Through 23-02-2023",
year = "2023",
doi = "10.1117/12.2653684",
language = "English",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Linte, {Cristian A.} and Siewerdsen, {Jeffrey H.}",
booktitle = "Medical Imaging 2023",
}