A Multi-spectral Image Database for In-vivo Hand Perfusion Evaluation

The increasing prevalence of vascular diseases encourages the development minimally invasive approaches to assess tissue perfusion. A significant challenge facing current state-of-the-art methods is their validation against clinical data. In this study, we introduce an open-source database designed evaluate perfusion during application occlusion protocol. comprises sequences multi-spectral images (visible and near-infrared region) from subjects’ predominant hand photoplethysmography data for validation. Our study recruited 45 healthy participants, including 21 females, with age range between 18-24 years old (standard deviation equal 1.73). was evaluated using two estimating skin parameters based on images: a Kubelka-Munk model, linear regression. Meanwhile, purposes, changes in oxygenated deoxygenated hemoglobin were by as baseline parameters. Pearson correlation plethysmography-based those extracted all cases metric. findings demonstrated strong (ρ > 0.7) parameters, suggesting that useful further research related in-vivo assessment. primary objective provide controlled protocol new visible regions. addition, facilitates assessment innovative estimation techniques.