Wound 3D Geometrical Feature Estimation Using Poisson Reconstruction
Wound 3D Geometrical Feature Estimation Using Poisson Reconstruction
复制标题
使用泊松重建进行伤口 3D 几何特征估计
作者：
J. Juszczyk;Agata M. Wijata;J. Czajkowska;Michal Krecichwost;M. Rudzki;Marta Biesok;Bartłomiej Pyciński;Jakub Majewski;J. Kostecki;E. Pietka
随着发达国家人口老龄化，富裕病变得普遍。其并发症的后果之一是影响越来越多的人的慢性伤口。由于慢性伤口的愈合是一个漫长的过程，因此其监测应尽可能简单，同时提供准确可靠的记录。在本文中，我们提出了一种使用多种成像方式的图像采集系统和伤口表面重建方法：彩色摄影、热成像和深度感知。该方法主要针对身体曲率较大的四肢伤口，其对二维结果的影响不可忽视。我们的方法最大限度地减少了医务人员准备伤口轮廓所需的额外工作，因为它仍然使用 2D 彩色照片进行，然后映射到 3D 空间。该方法在 29 个数据集上进行了验证，其中包含来自两个深度成像设备（深度相机和立体相机）的两个 3D 点云以及 2D 彩色照片和热图。该方法与专家描述以及文献中提出的其他当代伤口表面重建方法进行了比较。进行的实验和获得的结果表明，所提出的方法在统计上与 3D 中进行的专家描绘一致。
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.