Motion tracking in infrared imaging for quantitative medical diagnostic applications.

Motion tracking in infrared imaging for quantitative medical diagnostic applications.
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DOI:
10.1016/j.infrared.2013.10.009
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发表时间:
2014-01
影响因子:
3.3
通讯作者:
Herman, Cila
Herman, Cila
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Cheng, Tze-Yuan;Herman, Cila

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在医学应用中,红外(IR)热成像用于检测和检查皮肤异常的热特征,通过定量分析在稳态条件下的皮肤温度或其随时间的演变,以图像序列捕获。然而,在图像采集期间,患者的不自主运动是不可避免的,这种运动将破坏皮肤上任何特定位置的温度测量的准确性。在本研究中,提出了一种基于模板算法的跟踪方法,以跟踪红外图像序列中受试者的非自愿运动。当身体相对于图像帧移动时,运动跟踪将允许将温度演变与身体上的每个空间位置相关联。采用仿射变换模型估计模板图像的运动参数。应用Lucas-Kanade算法搜索仿射变换的优化参数。在算法中加入加权掩码,保证了算法的跟踪鲁棒性。为了评估跟踪方法的可行性,我们在实验中测试了两组具有随机平面内运动的红外图像序列。首先考虑皮肤温度与环境平衡的稳态(无加热或冷却)红外图像序列。热恢复红外图像序列是在皮肤从60秒冷却中恢复时获得的,是第二个分析的案例。通过对模板图像的合理选择和模板更新,对两个红外图像序列都获得了满意的跟踪效果。所获得的跟踪精度在满足红外热成像临床应用的要求方面是有希望的。
In medical applications, infrared (IR) thermography is used to detect and examine the thermal signature of skin abnormalities by quantitatively analyzing skin temperature in steady state conditions or its evolution over time, captured in an image sequence. However, during the image acquisition period, the involuntary movements of the patient are unavoidable, and such movements will undermine the accuracy of temperature measurement for any particular location on the skin. In this study, a tracking approach using a template-based algorithm is proposed, to follow the involuntary motion of the subject in the IR image sequence. The motion tacking will allow to associate a temperature evolution to each spatial location on the body while the body moves relative to the image frame. The affine transformation model is adopted to estimate the motion parameters of the template image. The Lucas–Kanade algorithm is applied to search for the optimized parameters of the affine transformation. A weighting mask is incorporated into the algorithm to ensure its tracking robustness. To evaluate the feasibility of the tracking approach, two sets of IR image sequences with random in-plane motion were tested in our experiments. A steady-state (no heating or cooling) IR image sequence in which the skin temperature is in equilibrium with the environment was considered first. The thermal recovery IR image sequence, acquired when the skin is recovering from 60-s cooling, was the second case analyzed. By proper selection of the template image along with template update, satisfactory tracking results were obtained for both IR image sequences. The achieved tracking accuracies are promising in terms of satisfying the demands imposed by clinical applications of IR thermography.
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