Open Access
26 September 2022 Decoupling channel count from field of view and spatial resolution in single-sensor imaging systems for fluorescence image-guided surgery
Steven Blair, Missael Garcia, Zhongmin Zhu, Zuodong Liang, Benjamin Lew, Mebin George, Borislav Kondov, Sinisa Stojanoski, Magdalena Bogdanovska Todorovska, Daniela Miladinova, Goran Kondov, Viktor Gruev
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Abstract

Significance

Near-infrared fluorescence image-guided surgery is often thought of as a spectral imaging problem where the channel count is the critical parameter, but it should also be thought of as a multiscale imaging problem where the field of view and spatial resolution are similarly important.

Aim

Conventional imaging systems based on division-of-focal-plane architectures suffer from a strict relationship between the channel count on one hand and the field of view and spatial resolution on the other, but bioinspired imaging systems that combine stacked photodiode image sensors and long-pass/short-pass filter arrays offer a weaker tradeoff.

Approach

In this paper, we explore how the relevant changes to the image sensor and associated image processing routines affect image fidelity during image-guided surgeries for tumor removal in an animal model of breast cancer and nodal mapping in women with breast cancer.

Results

We demonstrate that a transition from a conventional imaging system to a bioinspired one, along with optimization of the image processing routines, yields improvements in multiple measures of spectral and textural rendition relevant to surgical decision-making.

Conclusions

These results call for a critical examination of the devices and algorithms that underpin image-guided surgery to ensure that surgeons receive high-quality guidance and patients receive high-quality outcomes as these technologies enter clinical practice.

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.
Steven Blair, Missael Garcia, Zhongmin Zhu, Zuodong Liang, Benjamin Lew, Mebin George, Borislav Kondov, Sinisa Stojanoski, Magdalena Bogdanovska Todorovska, Daniela Miladinova, Goran Kondov, and Viktor Gruev "Decoupling channel count from field of view and spatial resolution in single-sensor imaging systems for fluorescence image-guided surgery," Journal of Biomedical Optics 27(9), 096006 (26 September 2022). https://doi.org/10.1117/1.JBO.27.9.096006
Received: 29 June 2022; Accepted: 7 September 2022; Published: 26 September 2022
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Spatial resolution

Image sensors

Imaging systems

Near infrared

Cameras

Surgery

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