Evaluation Of Methods For Volume Estimation Of Chronic Wounds

Chronic wounds coexist with many diseases or injuries. The diagnostic and therapeutic process is related to the monitoring and assessment of the wound. The latter includes such parameters as the area or the volume. The aim of this paper is to validate and compare various point cloud based wound volume estimation techniques. The obtained results were compared with Kundin technique (as the most popular) and liquid volume fill method. The point clouds were acquired using three different types of devices. For point cloud data analysis and processing the surface reconstruction algorithm has been performed. The reconstruction algorithm applied Delaunay triangulation and bi-cubic interpolation. In the performed experiments, the point clouds were acquired threefold: from a Time-of-Flight camera, from Claron video-metric system and from a 3D scanner. The obtained volume estimation results were compared with the liquid volumetric fill method as a reference method. According to the obtained results, the best method of wound volume estimation based on the textured point cloud is the usage of Time-of-Flight camera, which results are comparable to the measurements obtained using Kundin device.