Wound 3D Geometrical Feature Estimation Using Poisson Reconstruction

Abstract

With the aging population of the developed countries, the diseases of affluence become common. One of the consequences of their complications are chronic wounds that affect more and more people. Because the healing of chronic wounds is a lengthy process, its monitoring should be as simple as possible, yet providing accurate and reliable documentation. In this article, we present an image acquisition system and wound surface reconstruction method using several imaging modalities: color photography, thermal imaging, and depth perception. The proposed method is dedicated mainly to wounds located on the limbs where body curvature is large, and its influence on 2D results cannot be neglected. Our approach minimizes the extra effort taken by the medical staff to prepare the wound outline as it is still performed using 2D color photo and then mapped into the 3D space. The method was validated on 29 data sets containing two 3D point clouds from two depth imaging devices (depth camera and stereo camera) as well as 2D color photos and thermal maps. The approach was compared with expert delineations as well as other contemporary methods for wound surface reconstruction presented in the literature. Performed experiments and the obtained results show that the proposed method is statistically concordant with expert delineations performed in 3D.

High-Precision 3D Reconstruction for Small-to-Medium-Sized Objects Utilizing Line-Structured Light Scanning: A Review

“…In recent years, Guarda et al introduced a generalized Tikhonov regularization in the objective function of the SPSR algorithm, where the enhanced quadratic difference eliminates artifacts in the reconstruction process, improving the accuracy [132]. Combining this with Poisson reconstruction, Juszczyk et al fused multiple sources of data to effectively estimate the size of the human wound, which is consistent with the diagnosis of clinical experts [133].…”