Oxygen saturation mapping during reconstructive surgery of human forehead flaps with hyperspectral imaging and spectral unmixing

Merdasa, Aboma; Berggren, Johanna; Tenland, Kajsa; Stridh, Magne; Hernandez-Palacios, Julio; Gustafsson, Nils; Sheikh, Rafi; Malmsjö, Malin

doi:10.1016/j.mvr.2023.104573

Cited by 6 publications

(1 citation statement)

References 34 publications

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“… 39 In human forehead flaps, HSI mapping traced the expected decrease in

during partial and full excision of the flap. 40 In diabetes, the blood amount in the foot dermis and

based on multispectral spatial frequency domain imaging could stratify subjects with varying severities of the disease. 41 Furthermore, with the same technique, a low amount of blood in the superficial dermis and a high

indicating poor oxygen transfer to tissue and a heterogenous light scattering were predictive of leg ulcer risk in a diabetic population.…”

Section: Discussionmentioning

confidence: 99%

Artificial neural networks trained on simulated multispectral data for real-time imaging of skin microcirculatory blood oxygen saturation

Larsson,

Ewerlöf,

Salerud

et al. 2024

J. Biomed. Opt.

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Imaging blood oxygen saturation (SO 2 ) in the skin can be of clinical value when studying ischemic tissue. Emerging multispectral snapshot cameras enable real-time imaging but are limited by slow analysis when using inverse Monte Carlo (MC), the gold standard for analyzing multispectral data. Using artificial neural networks (ANNs) facilitates a significantly faster analysis but requires a large amount of high-quality training data from a wide range of tissue types for a precise estimation of SO 2 .Aim: We aim to develop a framework for training ANNs that estimates SO 2 in real time from multispectral data with a precision comparable to inverse MC.Approach: ANNs are trained using synthetic data from a model that includes MC simulations of light propagation in tissue and hardware characteristics. The model includes physiologically relevant variations in optical properties, unique sensor characteristics, variations in illumination spectrum, and detector noise. This approach enables a rapid way of generating high-quality training data that covers different tissue types and skin pigmentation. Results:The ANN implementation analyzes an image in 0.11 s, which is at least 10,000 times faster than inverse MC. The hardware modeling is significantly improved by an in-house calibration of the sensor spectral response. An in-vivo example shows that inverse MC and ANN give almost identical SO 2 values with a mean absolute deviation of 1.3%-units.Conclusions: ANN can replace inverse MC and enable real-time imaging of microcirculatory SO 2 in the skin if detailed and precise modeling of both tissue and hardware is used when generating training data.

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“… 39 In human forehead flaps, HSI mapping traced the expected decrease in

during partial and full excision of the flap. 40 In diabetes, the blood amount in the foot dermis and

indicating poor oxygen transfer to tissue and a heterogenous light scattering were predictive of leg ulcer risk in a diabetic population.…”

Section: Discussionmentioning

confidence: 99%

Artificial neural networks trained on simulated multispectral data for real-time imaging of skin microcirculatory blood oxygen saturation

Larsson,

Ewerlöf,

Salerud

et al. 2024

J. Biomed. Opt.

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Hyperspectral imaging for non-invasive blood oxygen saturation assessment

2024

Photodiagnosis and Photodynamic Therapy

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Functional and molecular 3D mapping of angiosarcoma tumor using non-invasive laser speckle, hyperspectral, and photoacoustic imaging

Stridh,

Dahlstrand,

Naumovska

et al. 2024

Orbit

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Oxygen saturation mapping during reconstructive surgery of human forehead flaps with hyperspectral imaging and spectral unmixing

Cited by 6 publications

References 34 publications

Artificial neural networks trained on simulated multispectral data for real-time imaging of skin microcirculatory blood oxygen saturation

Artificial neural networks trained on simulated multispectral data for real-time imaging of skin microcirculatory blood oxygen saturation

Hyperspectral imaging for non-invasive blood oxygen saturation assessment

Functional and molecular 3D mapping of angiosarcoma tumor using non-invasive laser speckle, hyperspectral, and photoacoustic imaging

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