A 110 × 64 150 mW 28 frames/s integrated visible/near-infrared CMOS image sensor with dual exposure times for image guided surgery

Cui, Nan; York, Timothy; Marinov, Radoslav; Mondal, Suman B.; Gao, Shengkui; Margenthaler, Julie A.; Achilefu, Samuel; Gruev, Viktor

doi:10.1109/iscas.2016.7527180

Cited by 5 publications

(3 citation statements)

References 7 publications

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Section: Introductionmentioning

confidence: 99%

“… 28 with the four-channel imaging systems that have long been favored by researchers and manufacturers alike. 17 – 27 We do so by fixing the largest scale available to the camera (i.e., fixing the field of view) and evaluating performance at the smallest scale available to the camera (i.e., evaluating performance at the spatial resolution). A discussion of the two imaging systems is provided in Sec.…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, these single-sensor devices typically provide three channels in the visible and one channel in the near-infrared to maximize the field of view and spatial resolution while providing the bare minimum channel count. [17][18][19][20][21][22][23][24][25][26][27] What emerges within this design space is a complex relationship between the parameters that would optimize an image-guided surgery and the parameters that are practical in an imaging system. Maximum benefit to both the surgeon and patient may not be achieved via the default implementations of division-of-time, division-of-optical-path, and division-of-focal-plane instruments but may instead necessitate careful modifications to these architectures.…”

Section: Introductionmentioning

confidence: 99%

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Decoupling channel count from field of view and spatial resolution in single-sensor imaging systems for fluorescence image-guided surgery

et al. 2022

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. 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.

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