基于单摄像头的三维体表损伤面积定量测量方法

体表损伤的测量是临床医学研究和法医学鉴定的一项重要工作,体表损伤面积的定量测量在法医鉴定、临床实验、伤口病理分析和日常患者护理方面有着重要意义。首次将运动恢复形状算法(SFM)与最小二乘共形映射(LSCM)引入到体表损伤面积的测量中,结合图像分割提出一种适合人体体表损伤图像的面积测量算法。运用算法对人体体表损伤图像进行特征提取、稀疏重建、密集重建,得到图像中被测体的3D点云,而后利用泊松表面重建算法将点连成面,使其网络化,最后通过展UV进行损伤面积的提取和测算。以已知面积的模拟伤口为基准,用40组模拟损伤数据对所提出算法的准确率进行评价。实验结果表明,测量平均准确率达到97%,较二维测量方法提高10.79%。这种算法可克服接触式方法的缺陷,解决二维测量无法克服的人体曲率问题和拍摄角度问题,尤其在人体曲率大的部位计算准确率高,设备依赖性小。

Quantitative Measurement of 3D Skin Wound Area Based on Single Camera

The measurement of skin wounds is an important work in the field of clinical research and forensic identification. Quantitative measurement of skin wounds area has important significance in forensic identification, clinical trials, the wound pathological analysis and daily patient care. In this paper, the algorithm of structure from motion (SFM) and least squares conformal mapping (LSCM) were introduced into the measurement of skin wounds area, combined with image segmentation, an algorithm that suitable for the area measurement of the human body surface was proposed. This paper used eigenvalue extraction, sparse reconstruction and dense reconstruction in order to get the 3D point cloud of the tested body. Then the paper used the Poisson reconstruction algorithm on the point to make them networked, and unwrap the UV map of the 3D model for skin wounds extraction and measurement in the end. This paper used the known area simulation wound as a benchmark, 40 groups were adopted to evaluate the accuracy of the algorithm. The measuring accuracy of the experimental results showed that the algorithm in this paper reached the accuracy of 0.97, compared with 2D measurement method, the accuracy was increased by 10.79%. The algorithm in this paper solved the shortcoming of the contact method and the problem of human curvature or angle deflection, which was hard to solve by the 2D measurement. In addition, the algorithm in this paper has less dependence of equipment and high accuracy especially in the parts with large curvature.