Suppr超能文献

一种用于精确测量体积以监测皮肤利什曼病伤口演变的3D评估工具。

A 3D assessment tool for accurate volume measurement for monitoring the evolution of cutaneous leishmaniasis wounds.

作者信息

Zvietcovich Fernando, Castañeda Benjamin, Valencia Braulio, Llanos-Cuentas Alejandro

机构信息

Laboratory of Medical Image Research, Pontificia Universidad Católica del Perú, Lima, Perú.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:2025-8. doi: 10.1109/EMBC.2012.6346355.

Abstract

Clinical assessment and outcome metrics are serious weaknesses identified on the systematic reviews of cutaneous Leishmaniasis wounds. Methods with high accuracy and low-variability are required to standarize study outcomes in clinical trials. This work presents a precise, complete and noncontact 3D assessment tool for monitoring the evolution of cutaneous Leishmaniasis (CL) wounds based on a 3D laser scanner and computer vision algorithms. A 3D mesh of the wound is obtained by a commercial 3D laser scanner. Then, a semi-automatic segmentation using active contours is performed to separate the ulcer from the healthy skin. Finally, metrics of volume, area, perimeter and depth are obtained from the mesh. Traditional manual 3D and 3D measurements are obtained as a gold standard. Experiments applied to phantoms and real CL wounds suggest that the proposed 3D assessment tool provides higher accuracy (error <2%) and precision rates (error <4%) than conventional manual methods (precision error < 35%). This 3D assessment tool provides high accuracy metrics which deserve more formal prospective study.

摘要

临床评估和结果指标是皮肤利什曼病伤口系统评价中发现的严重不足。在临床试验中,需要高精度和低变异性的方法来标准化研究结果。这项工作基于三维激光扫描仪和计算机视觉算法,提出了一种精确、完整且非接触式的三维评估工具,用于监测皮肤利什曼病(CL)伤口的演变。通过商用三维激光扫描仪获取伤口的三维网格。然后,使用主动轮廓进行半自动分割,将溃疡与健康皮肤分开。最后,从网格中获取体积、面积、周长和深度等指标。传统的手动三维和二维测量作为金标准。应用于模型和实际CL伤口的实验表明,所提出的三维评估工具比传统手动方法具有更高的准确性(误差<2%)和精密度率(误差<4%)(精密度误差<35%)。这种三维评估工具提供了高精度指标,值得进行更正式的前瞻性研究。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验