PulseCam: a camera-based, motion-robust and highly sensitive blood perfusion imaging modality

Kumar, Mayank; Suliburk, James W.; Veeraraghavan, Ashok; Sabharwal, Ashutosh

doi:10.1038/s41598-020-61576-0

Cited by 29 publications

(24 citation statements)

References 46 publications

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“…It is also used to assess blood perfusion in the brain cortex during open brain surgery [ 196 ]. PulseCam [ 197 ] is a sensitive camera that can capture blood perfusion conveniently and affordably.…”

Section: Potential Applications Of Ppg Signal and Impacts On Healthcarementioning

confidence: 99%

Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review

et al. 2022

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Recent research indicates that Photoplethysmography (PPG) signals carry more information than oxygen saturation level (SpO2) and can be utilized for affordable, fast, and noninvasive healthcare applications. All these encourage the researchers to estimate its feasibility as an alternative to many expansive, time-wasting, and invasive methods. This systematic review discusses the current literature on diagnostic features of PPG signal and their applications that might present a potential venue to be adapted into many health and fitness aspects of human life. The research methodology is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines 2020. To this aim, papers from 1981 to date are reviewed and categorized in terms of the healthcare application domain. Along with consolidated research areas, recent topics that are growing in popularity are also discovered. We also highlight the potential impact of using PPG signals on an individual’s quality of life and public health. The state-of-the-art studies suggest that in the years to come PPG wearables will become pervasive in many fields of medical practices, and the main domains include cardiology, respiratory, neurology, and fitness. Main operation challenges, including performance and robustness obstacles, are identified.

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Section: Potential Applications Of Ppg Signal and Impacts On Healthcarementioning

confidence: 99%

Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review

et al. 2022

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“…Some of the main reasons why spectral imaging has not yet found its way into surgical practice are related to image acquisition time, processing time and size of the available devices 13 . In fact, many available MSI/HSI camera systems are large (14-50 cm) and/or take several seconds (2-8 s) to record and process one image [32][33][34][35][36][37][38][39] . To the best of our knowledge, the only laparoscopic spectral device proposed for clinical use so far 34 takes around five seconds to record one hyperspectral image, which prevents real-time application.…”

Section: Mainmentioning

confidence: 99%

Spectral imaging enables contrast agent-free real-time ischemia monitoring in laparoscopic surgery

Ayala

Adler

Seidlitz

et al. 2022

Preprint

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Laparoscopic surgery has evolved as a key technique for cancer diagnosis and therapy. While characterization of the tissue perfusion is crucial in various procedures, such as partial nephrectomy, doing so by means of visual inspection remains highly challenging. Spectral imaging takes advantage of the fact that different tissue components have unique optical properties to recover relevant information on tissue function such as ischemia. However, clinical success stories for advancing laparoscopic surgery with spectral imaging are lacking to date. To address this bottleneck, we developed the first laparoscopic real-time multispectral imaging (MSI) system featuring a compact and lightweight multispectral camera and the possibility to complement the conventional RGB (Red, Green, and Blue) surgical view of the patient with functional information at a video rate of 25 Hz. To account for the high inter-patient variability of human tissue, we phrase the problem of ischemia detection as an out-of-distribution (OoD) detection problem that does not rely on data from any other patient. Using an ensemble of invertible neural networks (INNs) as a core component, our algorithm computes the likelihood of ischemia based on a short (several seconds) video sequence acquired at the beginning of each surgery. A first-in-human trial performed on 10 patients undergoing partial nephrectomy demonstrates the feasibility of our approach for fully-automatic live ischemia monitoring during laparoscopic surgery. Compared to the clinical state-of-the-art approach based on indocyanine green (ICG) fluorescence, the proposed MSI-based method does not require the injection of a contrast agent and is repeatable if the wrong segment has been clamped. Spectral imaging combined with advanced deep learning-based analysis tools could thus evolve as an important tool for fast, efficient, reliable and safe functional imaging in minimally invasive surgery.

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“…Noncontact-based methods for extracting hemodynamics using video recording are a more recent development which more fully utilizes the spatial information provided by smartphone imaging. 68 , 72 , 104 , 123 , 124 Two recent works, by Park et al. 72 and He and Wang, 68 used computational techniques to infer higher resolution spectral responses and predict hemoglobin content in tissue using only RGB smartphone image data.…”

Section: Context and Applicationsmentioning

confidence: 99%

Smartphone-based imaging systems for medical applications: a critical review

2021

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. Significance: Smartphones come with an enormous array of functionality and are being more widely utilized with specialized attachments in a range of healthcare applications. A review of key developments and uses, with an assessment of strengths/limitations in various clinical workflows, was completed. Aim: Our review studies how smartphone-based imaging (SBI) systems are designed and tested for specialized applications in medicine and healthcare. An evaluation of current research studies is used to provide guidelines for improving the impact of these research advances. Approach: First, the established and emerging smartphone capabilities that can be leveraged for biomedical imaging are detailed. Then, methods and materials for fabrication of optical, mechanical, and electrical interface components are summarized. Recent systems were categorized into four groups based on their intended application and clinical workflow: ex vivo diagnostic, in vivo diagnostic, monitoring, and treatment guidance. Lastly, strengths and limitations of current SBI systems within these various applications are discussed. Results: The native smartphone capabilities for biomedical imaging applications include cameras, touchscreens, networking, computation, 3D sensing, audio, and motion, in addition to commercial wearable peripheral devices. Through user-centered design of custom hardware and software interfaces, these capabilities have the potential to enable portable, easy-to-use, point-of-care biomedical imaging systems. However, due to barriers in programming of custom software and on-board image analysis pipelines, many research prototypes fail to achieve a prospective clinical evaluation as intended. Effective clinical use cases appear to be those in which handheld, noninvasive image guidance is needed and accommodated by the clinical workflow. Handheld systems for in vivo , multispectral, and quantitative fluorescence imaging are a promising development for diagnostic and treatment guidance applications. Conclusions: A holistic assessment of SBI systems must include interpretation of their value for intended clinical settings and how their implementations enable better workflow. A set of six guidelines are proposed to evaluate appropriateness of smartphone utilization in terms of clinical context, completeness, compactness, connectivity, cost, and claims. Ongoing work should prioritize realistic clinical assessments with quantitative and qualitative comparison to non-smartphone systems to clearly demonstrate the value of smartphone-based systems. Improved hardware design to accommodate the rapidly changing smartphone ecosystem, creation of open-source image acquisition and analysis pipelines, and adoption of robust calibration techniques to address phone-to-phone variability are three high priority areas to move SBI research forwar...

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PulseCam: a camera-based, motion-robust and highly sensitive blood perfusion imaging modality

Cited by 29 publications

References 46 publications

Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review

Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review

Spectral imaging enables contrast agent-free real-time ischemia monitoring in laparoscopic surgery

Smartphone-based imaging systems for medical applications: a critical review

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