Open Access
29 March 2023 Evaluating clinical near-infrared surgical camera systems with a view to optimizing operator and computational signal analysis
Jeffrey Dalli, Abhinav Jindal, Gareth Gallagher, Jonathan P. Epperlein, Niall P. Hardy, Ra’ed Malallah, Kilian O’Donoghue, Padraig Cantillon-Murphy, Pól G. Mac Aonghusa, Ronan A. Cahill
Author Affiliations +
Abstract

Significance

As clinical evidence on the colorectal application of indocyanine green (ICG) perfusion angiography accrues, there is also interest in computerizing decision support. However, user interpretation and software development may be impacted by system factors affecting the displayed near-infrared (NIR) signal.

Aim

We aim to assess the impact of camera positioning on the displayed NIR signal across different open and laparoscopic camera systems.

Approach

The effects of distance, movement, and target location (center versus periphery) on the displayed fluorescence signal of different systems were measured under electromagnetic stereotactic guidance from an ICG-albumin model and in vivo during surgery.

Results

Systems displayed distinct fluorescence performances with variance apparent with scope optical lens configuration (0 deg versus 30 deg), movement, target positioning, and distance. Laparoscopic system readings fitted inverse square function distance-intensity curves with one device and demonstrated a direction dependent sigmoid curve. Laparoscopic cameras presented central targets as brighter than peripheral ones, and laparoscopes with angled optical lens configurations had a diminished field of view. One handheld open system also showed a distance-intensity relationship, whereas the other maintained a consistent signal despite distance, but both presented peripheral targets brighter than central ones.

Conclusions

Optimal clinical use and signal computational development requires detailed appreciation of system behaviors.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Jeffrey Dalli, Abhinav Jindal, Gareth Gallagher, Jonathan P. Epperlein, Niall P. Hardy, Ra’ed Malallah, Kilian O’Donoghue, Padraig Cantillon-Murphy, Pól G. Mac Aonghusa, and Ronan A. Cahill "Evaluating clinical near-infrared surgical camera systems with a view to optimizing operator and computational signal analysis," Journal of Biomedical Optics 28(3), 035002 (29 March 2023). https://doi.org/10.1117/1.JBO.28.3.035002
Received: 2 December 2022; Accepted: 14 February 2023; Published: 29 March 2023
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Cameras

Imaging systems

Fluorescence

Fluorescence intensity

Laparoscopy

Near infrared

Sensors

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