Computer-aided Veress needle guidance using endoscopic optical coherence tomography and convolutional neural networks.

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. W

SUBMITTER: Wang C 

PROVIDER: S-EPMC9097560 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature