Assessing multimodal optical imaging of perfusion in burn wounds

Lertsakdadet, Ben; Kennedy, Gordon T.; Stone, Randolph; Kowalczewski, Christine; Kowalczewski, Andrew; Natesan, Shanmugasundaram; Christy, Robert J.; Durkin, Anthony J.; Choi, Bernard

doi:10.1016/j.burns.2021.08.026

Cited by 8 publications

(20 citation statements)

References 39 publications

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“… 88 To account for tissue optical properties in the speckle contrast, we have combined LSI with SFDI to measure tissue optical properties. 77 , 87 , 93 The measured optical properties enable an optical property-corrected blood flow. 77 , 93 Implementing these methods can lead to greater utility of LSI in longitudinal brain imaging studies.…”

Section: Types Of Measurementsmentioning

confidence: 99%

Intrinsic, widefield optical imaging of hemodynamics in rodent models of Alzheimer’s disease and neurological injury

et al. 2023

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. The complex cerebrovascular network is critical to controlling local cerebral blood flow (CBF) and maintaining brain homeostasis. Alzheimer’s disease (AD) and neurological injury can result in impaired CBF regulation, blood–brain barrier breakdown, neurovascular dysregulation, and ultimately impaired brain homeostasis. Measuring cortical hemodynamic changes in rodents can help elucidate the complex physiological dynamics that occur in AD and neurological injury. Widefield optical imaging approaches can measure hemodynamic information, such as CBF and oxygenation. These measurements can be performed over fields of view that range from millimeters to centimeters and probe up to the first few millimeters of rodent brain tissue. We discuss the principles and applications of three widefield optical imaging approaches that can measure cerebral hemodynamics: (1) optical intrinsic signal imaging, (2) laser speckle imaging, and (3) spatial frequency domain imaging. Future work in advancing widefield optical imaging approaches and employing multimodal instrumentation can enrich hemodynamic information content and help elucidate cerebrovascular mechanisms that lead to the development of therapeutic agents for AD and neurological injury.

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Section: Types Of Measurementsmentioning

confidence: 99%

Intrinsic, widefield optical imaging of hemodynamics in rodent models of Alzheimer’s disease and neurological injury

et al. 2023

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“…Several optical technologies have been investigated to help clinicians assess burn wound severity ( Kaiser et al, 2011 ; Thatcher et al, 2016b ; Lertsakdadet et al, 2022 ). Burn depth assessment techniques can be divided into two categories such as imaging and non-imaging.…”

Section: Introductionmentioning

confidence: 99%

Clinical application of functional near-infrared spectroscopy for burn assessment

Kim

Paik

Kim³

et al. 2023

Front. Bioeng. Biotechnol.

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Significance: Early assessment of local tissue oxygen saturation is essential for clinicians to determine the burn wound severity.Background: We assessed the burn extent and depth in the skin of the extremities using a custom-built 36-channel functional near-infrared spectroscopy system in patients with burns.Methods: A total of nine patients with burns were analyzed in this study. All second-degree burns were categorized as superficial, intermediate, and deep burns; non-burned skin on the burned side; and healthy skin on the contralateral non-burned side. Hemodynamic tissue signals from functional near-infrared spectroscopy attached to the burn site were measured during fNIRS using a blood pressure cuff. A nerve conduction study was conducted to check for nerve damage.Results: All second-degree burns were categorized into superficial, intermediate, and deep burns; non-burned skin on the burned side and healthy skin on the contralateral non-burned side showed a significant difference distinguishable using functional near-infrared spectroscopy. Hemodynamic measurements using functional near-infrared spectroscopy were more consistent with the diagnosis of burns 1 week later than that of the degree of burns diagnosed visually at the time of admission.Conclusion: Functional near-infrared spectroscopy may help with the early judgment of burn extent and depth by reflecting differences in the oxygen saturation levels in the skin.

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“…The related measure, dNBR, refers to the difference between pre-and post-fire datasets. The results of the absolute measure of change in vegetation do not consider the heterogeneity of the landscape, so the burn intensity could vary according to the size and density of vegetation per pixel [5][6][7][8][11][12][13]. Furthermore, these are influenced by vegetation height, moisture content in vegetation and soil, and the exposure of burned material.…”

Section: Introductionmentioning

confidence: 99%

Burn Severity Assessment Using Sentinel-1 SAR in the Southeast Peruvian Amazon, a Case Study of Madre de Dios

Aguirre

Fidhel

Enciso

et al. 2022

Fire

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Fire is one of the significant drivers of vegetation loss and threat to Amazonian landscapes. It is estimated that fires cause about 30% of deforested areas, so the severity level is an important factor in determining the rate of vegetation recovery. Therefore, the application of remote sensing to detect fires and their severity is fundamental. Radar imagery has an advantage over optical imagery because radar can penetrate clouds, smoke, and rain and can see at night. This research presents algorithms for mapping the severity level of burns based on change detection from Sentinel-1 backscatter data in the southeastern Peruvian Amazon. Absolute, relative, and Radar Forest Degradation Index (RDFI) predictors were used through singular polarization length (dB) patterns (Vertical, Vertical-VV and Horizontal, Horizontal-HH) of vegetation and burned areas. The Composite Burn Index (CBI) determined the algorithms’ accuracy. The burn severity ratios used were estimated to be approximately 40% at the high level, 43% at the moderate level, and 17% at the low level. The validation dataset covers 384 locations representing the main areas affected by fires, showing the absolute and relative predictors of cross-polarization (k = 0.734) and RDFI (k = 0.799) as the most concordant in determining burn severity. Overall, the research determines that Sentinel-1 cross-polarized (VH) data has adequate accuracy for detecting and quantifying burns.

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Assessing multimodal optical imaging of perfusion in burn wounds

Cited by 8 publications

References 39 publications

Intrinsic, widefield optical imaging of hemodynamics in rodent models of Alzheimer’s disease and neurological injury

Intrinsic, widefield optical imaging of hemodynamics in rodent models of Alzheimer’s disease and neurological injury

Clinical application of functional near-infrared spectroscopy for burn assessment

Burn Severity Assessment Using Sentinel-1 SAR in the Southeast Peruvian Amazon, a Case Study of Madre de Dios

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