Involuntary motion tracking for medical dynamic infrared thermography using a template-based algorithm.
Involuntary motion tracking for medical dynamic infrared thermography using a template-based algorithm.
复制标题
使用基于模板的算法进行医疗动态红外热成像的非自愿运动跟踪。
DOI：
10.1117/12.2000569
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Herman,Cila
中科院分区：
文献类型：
--
作者：
Cheng,Tze-Yuan;Herman,Cila
在医学应用中，动态红外（IR）热成像用于检测皮肤温度的时间变化。动态红外成像首先引入热挑战，如人体皮肤上的冷却，然后在去除热挑战后获得数百个连续帧的序列。因此，通过分析皮肤温度在图像序列上的时间变化，可以检测皮肤异常的热特征。然而，在动态红外成像的获取过程中，患者的不自主运动是不可避免的，这种运动将破坏诊断的准确性。本文在基于模板算法的基础上，提出了一种补偿运动伪影的跟踪方法。采用仿射翘曲模型估计图像模板的运动参数，然后应用Lucas-Kanade算法搜索优化后的翘曲函数参数。此外，在计算中还加入了加权掩码，保证了算法的鲁棒性。为了评估该方法的性能，分析了两组被试手的红外图像序列：皮肤温度与环境平衡的稳态图像序列和皮肤冷却60秒后获得的热恢复图像序列。通过选取第一帧中的目标区域作为模板，两次实验都获得了满意的跟踪结果，并且在恢复试验中有效地保证了方法的鲁棒性。
In medical applications, Dynamic Infrared (IR) Thermography is used to detect the temporal variation of the skin temperature. Dynamic Infrared Imaging first introduces a thermal challenge such as cooling on the human skin, and then a sequence of hundreds of consecutive frames is acquired after the removal of the thermal challenge. As a result, by analyzing the temporal variation of the skin temperature over the image sequence, the thermal signature of skin abnormality can be examined. However, during the acquisition of dynamic IR imaging, the involuntary movements of patients are unavoidable, and such movements will undermine the accuracy of diagnosis. In this study, based on the template-based algorithm, a tracking approach is proposed to compensate the motion artifact. The affine warping model is adopted to estimate the motion parameter of the image template, and then the Lucas-Kanade algorithm is applied to search for the optimized parameters of the warping function. In addition, the weighting mask is also incorporated in the computation to ensure the robustness of the algorithm. To evaluate the performance of the approach, two sets of IR image sequences of a subject’s hand are analyzed: the steady-state image sequence, in which the skin temperature is in equilibrium with the environment, and the thermal recovery image sequence, which is acquired after cooling is applied on the skin for 60 seconds. By selecting the target region in the first frame as the template, satisfactory tracking results were obtained in both experimental trials, and the robustness of the approach can be effectively ensured in the recovery trial.