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Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function
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Spatiotemporal processing in photoplethysmography for skin microcirculatory perfusion imaging
Dongkai Cheng1, Jiabin Wang1, Tomoyuki Yokota1
1Department of Electrical Engineering and Information System, School of Engineering, The University of Tokyo, Tokyo, Japan.
Biomedical Optics Express
|March 14, 2022
Summary
This study introduces a novel method using lens-less imagers and singular value decomposition (SVD) to visualize skin microcirculation. The technique effectively reconstructs blood flow images from noisy photoplethysmography (PPG) signals.
Area of Science:
- Biomedical Engineering
- Optical Imaging
- Microcirculation Research
Background:
- Real-time visualization of cutaneous microcirculation requires high-resolution imaging and noise suppression.
- Photoplethysmography (PPG) is a promising noninvasive technique for blood vessel visualization and flow tracking.
- Extracting low-frequency blood flow signals (<0.2 Hz) from noisy PPG data in turbid tissues remains a challenge.
Purpose of the Study:
- To develop and validate a novel approach for reconstructing blood flow images from PPG signals.
- To overcome challenges in extracting precise blood flow signals from noisy cutaneous microcirculation data.
- To demonstrate the effectiveness of lens-less, conformable imagers combined with SVD for skin microcirculation tracking.
Main Methods:
- Utilized direct-contact, lens-less, conformable imagers for PPG signal acquisition.
- Applied singular value decomposition (SVD) for numerical analysis and signal processing.
- Focused on discriminating tissue and vein blood flow for image reconstruction.
Main Results:
- Successfully reconstructed blood fluidic images by analyzing SVD.
- Demonstrated precise discrimination of tissue and vein blood flow signals.
- Achieved effective tracking of skin microcirculation blood flow using the developed system.
Conclusions:
- The combination of lens-less, conformable imagers and SVD offers a robust solution for visualizing skin microcirculation.
- This approach enhances the accuracy of blood flow signal extraction from noisy PPG data.
- The developed technology shows potential for advanced noninvasive monitoring of cutaneous microcirculation.
