Short‐wave infrared light imaging measures tissue moisture and distinguishes superficial from deep burns

Mironov, Sergey V.; Hwang, Charles; Nemzek, Jean A.; Li, John; Ranganathan, Kavitha; Butts, Jonathan; Cholok, David; Dolgachev, Vladislav; Wang, Stewart C.; Hemmila, Mark R.; Cederna, Paul S.; Morris, Michael D.; Berenfeld, Omer; Levi, Benjamin

doi:10.1111/wrr.12779

Cited by 7 publications

(5 citation statements)

References 31 publications

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“…Finally, we discuss the practical implications of leveraging these important wavelengths in the domain of multispectral remote sensing. To facilitate the forthcoming discussion, we use the following acronyms: VIS (λ < 750 nm), NIR (750 ≤ λ < 1000 nm), and SWIR (1000 ≤ λ ≤ 2500 nm), which are defined as recommended in [64].…”

Section: Resultsmentioning

confidence: 99%

Uncovering Plastic Litter Spectral Signatures: A Comparative Study of Hyperspectral Band Selection Algorithms

Olyaei,

Ebtehaj

2023

Remote Sensing

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This article provides insights into the optical signatures of plastic litter based on a published laboratory-scale reflectance data set (350–2500 nm) of dry and wet plastic debris under clear and turbid waters using different band selection techniques, including sparse variable selection, density peak clustering, and hierarchical clustering. The variable selection method identifies important wavelengths by minimizing a reconstruction error metric, while clustering approaches rely on the strengths of the correlation and local density of the spectra. Analyses of the data reveal three distinct absorption lines at 560, 740, and 980 nm that produce relatively broad reflectance peaks in the measured spectra of wet plastics around 475–490, 635–650, 810–815, and 1070 nm. The results of band selection consistently identify three important regions across 450–470, 650–690, and 1050–1100 nm that are close to the reflectance peaks of the mean of wet plastic spectra over clear and turbid waters. However, as the number of isolated important wavelengths increases, the results of the methodologies diverge. Density peak clustering identifies additional wavelengths in the short-wave infrared (SWIR) region of 1170–1180 nm) as a result of a high local density of the reflectance points. In contrast, hierarchical clustering isolates more wavelengths in the visible range of 365–400 nm due to weak correlations of nearby wavelengths. The results of the clustering methods are not consistent with the visual inspection of the signatures as peaks and valleys in the spectra, which are effectively captured by the variable selection method. It is also found that the presence of suspended sediments can (i) shift the important wavelength towards higher values in the visible part of the spectrum by less than 50 nm, (ii) attenuate the magnitude of wet plastic reflectance by up to 80% across the entire spectrum, and (iii) manifest a similar spectral signature with plastic litter from 1070 to 1100 nm.

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Section: Resultsmentioning

confidence: 99%

Uncovering Plastic Litter Spectral Signatures: A Comparative Study of Hyperspectral Band Selection Algorithms

Olyaei,

Ebtehaj

2023

Remote Sensing

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“…The principle of identifying burn depth with NIRSI is similar to that of HSI, by detecting chromophores such as deoxygenated/oxygenated haemoglobin to assess burn depth. Mironov et al applied NIRSI to assess burn wounds on pigs (with varying depths caused by 20s and 60s of exposure to burn) 72 h post‐burn and compared the results with tissue biopsies, confirming the reliability of NIRSI in assessing burn depth 34 . In 2019, Wang et al reported a full‐field burn depth detection system based on near‐infrared hyperspectral imaging and integrated regression 35 .…”

Section: Spectral Imaging Technologymentioning

confidence: 97%

“…Mironov et al applied NIRSI to assess burn wounds on pigs (with varying depths caused by 20s and 60s of exposure to burn) 72 h post‐burn and compared the results with tissue biopsies, confirming the reliability of NIRSI in assessing burn depth. 34 In 2019, Wang et al reported a full‐field burn depth detection system based on near‐infrared hyperspectral imaging and integrated regression. 35 The results showed that combining NIRSI technology with the k‐nearest neighbour model, the average relative error in burn depth measurement was about 7%, and it demonstrated advantages such as being non‐invasive, convenient and accurate, indicating potential for clinical application.…”

Section: Spectral Imaging Technologymentioning

confidence: 99%

Non‐invasive medical imaging technology for the diagnosis of burn depth

Li,

Bu,

Shi

et al. 2024

International Wound Journal

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Currently, the clinical diagnosis of burn depth primarily relies on physicians' judgements based on patients' symptoms and physical signs, particularly the morphological characteristics of the wound. This method highly depends on individual doctors' clinical experience, proving challenging for less experienced or primary care physicians, with results often varying from one practitioner to another. Therefore, scholars have been exploring an objective and quantitative auxiliary examination technique to enhance the accuracy and consistency of burn depth diagnosis. Non‐invasive medical imaging technology, with its significant advantages in examining tissue surface morphology, blood flow in deep and changes in structure and composition, has become a hot topic in burn diagnostic technology research in recent years. This paper reviews various non‐invasive medical imaging technologies that have shown potential in burn depth diagnosis. These technologies are summarized and synthesized in terms of imaging principles, current research status, advantages and limitations, aiming to provide a reference for clinical application or research for burn specialists.

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“…Several emerging technologies, such as thermography, ultrasonography, photoacoustic techniques, nuclear magnetic resonance (NMR), and nearinfrared spectroscopy, hold promise for early and accurate burn depth assessment. However, further research is needed to validate their efficacy for routine clinical use 64 .…”

Section: Assessmentmentioning

confidence: 99%

Thermal Injuries in Children: A Literature-Based Overview

Wierzejska,

Michalczewska,

Fugas

et al. 2024

J Educ Health Sport

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Burns are a significant cause of morbidity and mortality in children. While the majority of pediatric burns are not life-threatening, they can have a significant impact on a child's physical and psychological health. They pose a major social and financial burden, particularly in developing countries. The management of pediatric patients with thermal injuries requires a complex and multifaceted approach. Pediatric burns constitute approximately 40-50% of all reported cases of severe burns. The most common etiologies of pediatric burns include scalds, contact burns, flames, and chemicals. From 80% to 90% of burns occurred at home and were accidental. Despite advancements in treatment, severe burns can lead to life-threatening complications, such as sepsis, multisystem organ failure, and hypermetabolic response or even death. This article aims to provide a literature-based overview of pediatric burn trauma, outlining its unique characteristics, etiology, epidemiology, classification, and initial management.

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Short‐wave infrared light imaging measures tissue moisture and distinguishes superficial from deep burns

Cited by 7 publications

References 31 publications

Uncovering Plastic Litter Spectral Signatures: A Comparative Study of Hyperspectral Band Selection Algorithms

Uncovering Plastic Litter Spectral Signatures: A Comparative Study of Hyperspectral Band Selection Algorithms

Non‐invasive medical imaging technology for the diagnosis of burn depth

Thermal Injuries in Children: A Literature-Based Overview

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