Computer‐aided Veress needle guidance using endoscopic optical coherence tomography and convolutional neural networks
Year: 2022
Type: article
Abstract: During laparoscopic surgery, the Veress needle is commonly used in pneumoperitoneum establishment. Precise placement of the Veress needle is still a challenge for the surgeon. In this study, a computer-aided endoscopic optical coherence tomography (OCT) system was developed to effectively and safely guide Veress needle insertion. This endoscopic system was tested by imaging subcutaneous fat, muscle, abdominal space, and the small intestine from swine samples to simulate the surgical process, including the situation with small intestine injury. Each tissue layer was visualized in OCT images with unique features and subsequently used to develop a system for automatic localization of the Veress needle tip by identifying tissue layers (or spaces) and estimating the needle-to-tissue distance. We used convolutional neural networks (CNNs) in automatic tissue classification and distance estimation. The average testing accuracy in tissue classification was 98.53 ± 0.39%, and the average testing relative error in distance estimation reached 4.42 ± 0.56% (36.09 ± 4.92 μm).
Source: Journal of Biophotonics
Authors: Chen Wang, Justin C. Reynolds, Paul Calle, Avery D. Ladymon, Feng Yan, Yuyang Yan, Sam Ton, Kar‐ming Fung, Sanjay G. Patel, Zhongxin Yu, Chongle Pan, Qinggong Tang
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Funders: U.S. Department of Energy, University of Oklahoma, Oklahoma Center for the Advancement of Science and Technology, National Institutes of Health, Office of Science, National Cancer Institute, National Institute of General Medical Sciences, National Center for Complementary and Integrative Health, Oak Ridge National Laboratory
Awards: G121915436, G1645119126, G1688536718, G1711187702, G203625172, G2584197162, G2988778103, G3751323388, G4423657506, G5002349689, G6199410246, G675320460, G7734004253, G7846554746, G8269158468, G8906985441, G9000020015, G9000141063, Stephenson Cancer Center - Cancer Center Support Grant, Real-time Epidural Anesthesia Guidance Using Multi-contrast Optical Coherence Tomography Needle Probe
OpenAlex ID: W4210507258