Mamone Virginia, Fonzo Miriam Di, Esposito Nicola, Ferrari Mauro, Ferrari Vincenzo
1Department of Information EngineeringUniversity of Pisa56122PisaItaly.
2EndoCASCenter for Computer-Assisted Surgery56124PisaItaly.
IEEE J Transl Eng Health Med. 2020 Mar 30;8:2700412. doi: 10.1109/JTEHM.2020.2983156. eCollection 2020.
This work presents a device for non-invasive wound parameters assessment, designed to overcome the drawbacks of traditional methods, which are mostly rough, inaccurate, and painful for the patient. The device estimates the morphological parameters of the wound and provides augmented reality (AR) visual feedback on the wound healing status by projecting the wound border acquired during the last examination, thus improving doctor-patient communication.
An accurate 3D model of the wound is created by stereophotogrammetry and refined through self-organizing maps. The 3D model is used to estimate physical parameters for wound healing assessment and integrates AR functionalities based on a miniaturized projector. The physical parameter estimation functionalities are evaluated in terms of precision, accuracy, inter-operator variability, and repeatability, whereas AR wound border projection is evaluated in terms of accuracy on the same phantom.
The accuracy and precision of the device are respectively 2% and 1.2% for linear parameters, and 1.7% and 1.3% for area and volume. The AR projection shows an error distance <1 mm. No statistical difference was found between the measurements of different operators.
The device has proven to be an objective and non-operator-dependent tool for assessing the morphological parameters of the wound. Comparison with non-contact devices shows improved accuracy, offering reliable and rigorous measurements. Clinical Impact: Chronic wounds represent a significant health problem with high recurrence rates due to the ageing of the population and diseases such as diabetes and obesity. The device presented in this work provides an easy-to-use non-invasive tool to obtain useful information for treatment.
本研究介绍了一种用于无创伤口参数评估的设备,旨在克服传统方法的缺点,传统方法大多粗糙、不准确,且会给患者带来痛苦。该设备可估计伤口的形态学参数,并通过投影上次检查时获取的伤口边界,提供关于伤口愈合状态的增强现实(AR)视觉反馈,从而改善医患沟通。
通过立体摄影测量法创建伤口的精确三维模型,并通过自组织映射进行优化。该三维模型用于估计伤口愈合评估的物理参数,并基于小型投影仪集成AR功能。物理参数估计功能从精度、准确性、操作者间变异性和可重复性方面进行评估,而AR伤口边界投影则在同一模型上从准确性方面进行评估。
该设备线性参数的准确度和精度分别为2%和1.2%,面积和体积的准确度和精度分别为1.7%和1.3%。AR投影显示误差距离<1毫米。不同操作者的测量结果之间未发现统计学差异。
该设备已被证明是一种客观且不依赖操作者的伤口形态学参数评估工具。与非接触式设备相比,其准确性有所提高,能提供可靠且精确的测量结果。临床影响:由于人口老龄化以及糖尿病和肥胖症等疾病,慢性伤口是一个重大的健康问题,复发率很高。本研究中介绍的设备提供了一种易于使用的无创工具,可获取用于治疗的有用信息。