Open AccessHigh-throughput multi-resolution foveated laparoscope for minimally invasive surgery
Author(s) -
Jeremy Katz,
Hong Hua
Publication year - 2022
Publication title -
biomedical optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.458073
Subject(s) - throughput , computer science , computer vision , artificial intelligence , invasive surgery , image quality , image processing , medicine , surgery , image (mathematics) , telecommunications , wireless
Feasibility and clinical utility of a multi-resolution foveated laparoscope (MRFL) was previously tested in a porcine surgical study. The study revealed several clinical limitations of the system including moisture proofing, working distance, image quality, low light performance, color accuracy, size, and weight. In this paper, we discuss the root causes of these limitations and strategies to correct them, present the design and prototyping of a new high throughput multi resolution foveated laparoscope (HT-MRFL), and demonstrate the HT-MRFL prototype performance in comparison to the MRFL and simulated performance metrics.