Dataset Information

Evaluating clinical near-infrared surgical camera systems with a view to optimizing operator and computational signal analysis.

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.

SUBMITTER: Dalli J

PROVIDER: S-EPMC10050972 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature

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Publications

Evaluating clinical near-infrared surgical camera systems with a view to optimizing operator and computational signal analysis.

Dalli Jeffrey J Jindal Abhinav A Gallagher Gareth G Epperlein Jonathan P JP Hardy Niall P NP Malallah Ra'ed R O'Donoghue Kilian K Cantillon-Murphy Padraig P Mac Aonghusa Pól G PG Cahill Ronan A RA

Journal of biomedical optics 20230329 3

<h4>Significance</h4>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.<h4>Aim</h4>We aim to assess the impact of camera positioning on the displayed NIR signal across different open and laparoscopic camera systems.<h4>Approach</h4>The effects ...[more]

PMID: 37009578

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Project description:Significance: There is a longstanding recommendation within the field of fNIRS to use oxygenated ( HbO2 ) and deoxygenated (HHb) hemoglobin when analyzing and interpreting results. Despite this, many fNIRS studies do focus on HbO2 only. Previous work has shown that HbO2 on its own is susceptible to systemic interference and results may mostly reflect that rather than functional activation. Studies using both HbO2 and HHb to draw their conclusions do so with varying methods and can lead to discrepancies between studies. The combination of HbO2 and HHb has been recommended as a method to utilize both signals in analysis. Aim: We present the development of the hemodynamic phase correlation (HPC) signal to combine HbO2 and HHb as recommended to utilize both signals in the analysis. We use synthetic and experimental data to evaluate how the HPC and current signals used for fNIRS analysis compare. Approach: About 18 synthetic datasets were formed using resting-state fNIRS data acquired from 16 channels over the frontal lobe. To simulate fNIRS data for a block-design task, we superimposed a synthetic task-related hemodynamic response to the resting state data. This data was used to develop an HPC-general linear model (GLM) framework. Experiments were conducted to investigate the performance of each signal at different SNR and to investigate the effect of false positives on the data. Performance was based on each signal's mean T -value across channels. Experimental data recorded from 128 participants across 134 channels during a finger-tapping task were used to investigate the performance of multiple signals [ HbO2 , HHb, HbT, HbD, correlation-based signal improvement (CBSI), and HPC] on real data. Signal performance was evaluated on its ability to localize activation to a specific region of interest. Results: Results from varying the SNR show that the HPC signal has the highest performance for high SNRs. The CBSI performed the best for medium-low SNR. The next analysis evaluated how false positives affect the signals. The analyses evaluating the effect of false positives showed that the HPC and CBSI signals reflect the effect of false positives on HbO2 and HHb. The analysis of real experimental data revealed that the HPC and HHb signals provide localization to the primary motor cortex with the highest accuracy. Conclusions: We developed a new hemodynamic signal (HPC) with the potential to overcome the current limitations of using HbO2 and HHb separately. Our results suggest that the HPC signal provides comparable accuracy to HHb to localize functional activation while at the same time being more robust against false positives.

Dataset Information

Evaluating clinical near-infrared surgical camera systems with a view to optimizing operator and computational signal analysis.

Significance

Aim

Approach

Results

Conclusions

Publications

Evaluating clinical near-infrared surgical camera systems with a view to optimizing operator and computational signal analysis.

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