用RGB-D影像实现无创3D伤口测量，精度达亚毫米级。
Non-Invasive 3D Wound Measurement with RGB-D Imaging
- 结合RGB-D里程计与B样条重建，生成高精度3D伤口网格。
- 测量结果重复性好，与人工评估高度一致，误差小于亚毫米。
- 适合临床及远程医疗实时使用，性能优于现有方法。
慢性伤口的监测与管理需要准确高效的测量手段。本文提出一种基于RGB-D成像的快速无创3D伤口测量算法，结合RGB-D里程计与B样条表面重建技术，生成精细的3D伤口网格，可自动计算周长、表面积和尺寸等临床相关参数。我们在真实硅胶伤口模型上进行了评估，与高分辨率真值扫描相比，3D重建精度达到亚毫米级。提取的测量结果在多次捕获中表现低变异，且与人工评估高度一致。所提流程在保持实时部署运行时间的同时，优于当前最先进的以物体为中心的RGB-D重建方法。该方法为临床和远程医疗环境中的自动化伤口评估提供了有力工具。
原文摘要 · Abstract (English)
Chronic wound monitoring and management require accurate and efficient wound measurement methods. This paper presents a fast, non-invasive 3D wound measurement algorithm based on RGB-D imaging. The method combines RGB-D odometry with B-spline surface reconstruction to generate detailed 3D wound meshes, enabling automatic computation of clinically relevant wound measurements such as perimeter, surface area, and dimensions. We evaluated our system on realistic silicone wound phantoms and measured sub-millimetre 3D reconstruction accuracy compared with high-resolution ground-truth scans. The extracted measurements demonstrated low variability across repeated captures and strong agreement with manual assessments. The proposed pipeline also outperformed a state-of-the-art object-centric RGB-D reconstruction method while maintaining runtimes suitable for real-time clinical deployment. Our approach offers a promising tool for automated wound assessment in both clinical and remote healthcare settings.
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