Faculty of Biomedical Engineering, Silesian University of Technology, ul. Roosevelta 40, 41-800 Zabrze, Poland.
Faculty of Biomedical Engineering, Silesian University of Technology, ul. Roosevelta 40, 41-800 Zabrze, Poland.
Comput Med Imaging Graph. 2021 Mar;88:101844. doi: 10.1016/j.compmedimag.2020.101844. Epub 2021 Jan 7.
A multimodal wound image database was created to allow fast development of computer-aided approaches for wound healing monitoring. The developed system with parallel camera optical axes enables multimodal images: photo, thermal, stereo, and depth map of the wound area to be acquired. As a result of using this system a multimodal database of chronic wound images is introduced. It contains 188 image sets of photographs, thermal images, and 3D meshes of the surfaces of chronic wounds acquired during 79 patient visits. Manual wound outlines delineated by an expert are also included in the dataset. All images of each case are additionally coregistered, and both numerical registration parameters and the transformed images are covered in the database. The presented database is publicly available for the research community at https://chronicwounddatabase.eu. That is the first publicly available database for evaluation and comparison of new image-based algorithms in the wound healing monitoring process with coregistered photographs, thermal maps, and 3D models of the wound area. Easily available database of coregistered multimodal data with the raw data set allows faster development of algorithms devoted to wound healing analysis and monitoring.
创建了一个多模态伤口图像数据库，以允许快速开发用于伤口愈合监测的计算机辅助方法。开发的系统具有平行相机光轴，能够获取多模态图像：伤口区域的照片、热、立体和深度图。使用该系统的结果是引入了一个慢性伤口图像的多模态数据库。它包含 188 组图像集，包括在 79 次就诊期间拍摄的慢性伤口的照片、热图像和表面的 3D 网格。数据集还包括由专家手动勾勒的伤口轮廓。每个病例的所有图像都经过额外的配准，数据库中包含数值配准参数和变换后的图像。该数据库在 https://chronicwounddatabase.eu 上可供研究界公开使用。这是第一个可公开获取的数据库，用于评估和比较新的基于图像的算法在伤口愈合监测过程中的应用，这些算法与配准的照片、热图和伤口区域的 3D 模型进行了对比。具有原始数据集的可配准多模态数据的便捷数据库，可加快致力于伤口愈合分析和监测的算法的开发。
