Code and data for: Decoupling channel count from field-of-view and spatial resolution in single-sensor imaging systems for fluorescence image-guided surgery
Creators
- 1. University of Illinois at Urbana-Champaign
- 2. Saints Cyril and Methodius University of Skopje
Description
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.
Notes
Files
Code_and_Data_-_Data_Only.zip
Files
(952.3 MB)
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md5:e51b6333ff27deb98b03406190bb18c9
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Additional details
Related works
- Is cited by
- 10.1117/1.JBO.27.9.096006 (DOI)
- Is derived from
- 10.5281/zenodo.7084017 (DOI)