Perfusion assessment via local remote photoplethysmography (rPPG)

TL;DR

This paper introduces a method using remote photoplethysmography (rPPG) signals from RGB videos to assess tissue perfusion at multiple scales, enabling applications in medical and security fields.

Contribution

It proposes a novel multi-scale perfusion assessment technique based on local rPPG signals, with new metrics for evaluating tissue blood supply.

Findings

Effective perfusion detection in intraoperative settings

Successful visualization of tissue perfusion during transplantation

Application in liveliness detection for authentication systems

Abstract

This paper presents an approach to assess the perfusion of visible human tissue from RGB video files. We propose metrics derived from remote photoplethysmography (rPPG) signals to detect whether a tissue is adequately supplied with blood. The perfusion analysis is done in three different scales, offering a flexible approach for different applications. We perform a plane-orthogonal-to-skin rPPG independently for locally defined regions of interest on each scale. From the extracted signals, we derive the signal-to-noise ratio, magnitude in the frequency domain, heart rate, perfusion index as well as correlation between specific rPPG signals in order to locally assess the perfusion of a specific region of human tissue. We show that locally resolved rPPG has a broad range of applications. As exemplary applications, we present results in intraoperative perfusion analysis and visualization during skin and organ transplantation as well as an application for liveliness assessment for the detection of presentation attacks to authentication systems.