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Skin perfusion pressure is a critical parameter in peripheral artery disease, which guides clinical decisions regarding ulcer healing and amputation. This study evaluates the application of multispectral imaging for skin perfusion pressure estimation. For this purpose, we conducted an occlusion protocol on 10 healthy participants, capturing multispectral images and photoplethysmography data concurrently to validate the estimation results. Using linear multivariable regression, we fitted unmixed multispectral data to the DC component of the infrared photoplethysmography, achieving an average R \(^2\) value of 0.82 ± 0.14. Our statistical analysis revealed no significant differences in skin perfusion pressure values estimated from photoplethysmography and multispectral imaging (ANOVA, p = 0.05), with high mean cosine similarity (0.99) and Pearson’s correlation (0.71). These findings highlight the potential of multispectral imaging as a noninvasive tool for skin perfusion pressure estimation, particularly in the foot sole. Future research will evaluate the clinical applicability of our methodology in patients with peripheral artery disease.

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Skin Perfusion Pressure Assessment via Multispectral Imaging Unmixing and Photoplethysmography

  • 会议论文

  • 发表日期：

    2025年

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  • Liliana Granados-Castro,
  • Diego A. Polanco-Diaz,
  • Emma P. Lopez-Anaya,
  • Aldo R. Mejia-Rodriguez,
  • Daniel U. Campos-Delgado,
  • Omar Gutierrez-Navarro

摘要

Skin perfusion pressure is a critical parameter in peripheral artery disease, which guides clinical decisions regarding ulcer healing and amputation. This study evaluates the application of multispectral imaging for skin perfusion pressure estimation. For this purpose, we conducted an occlusion protocol on 10 healthy participants, capturing multispectral images and photoplethysmography data concurrently to validate the estimation results. Using linear multivariable regression, we fitted unmixed multispectral data to the DC component of the infrared photoplethysmography, achieving an average R \(^2\) value of 0.82 ± 0.14. Our statistical analysis revealed no significant differences in skin perfusion pressure values estimated from photoplethysmography and multispectral imaging (ANOVA, p = 0.05), with high mean cosine similarity (0.99) and Pearson’s correlation (0.71). These findings highlight the potential of multispectral imaging as a noninvasive tool for skin perfusion pressure estimation, particularly in the foot sole. Future research will evaluate the clinical applicability of our methodology in patients with peripheral artery disease.