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Analysis of Transient Thermal Images to Distinguish Melanoma from Dysplastic Nevi

机译：瞬态热图像鉴别发育不良痣的黑色素瘤的分析

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We have recently developed a dynamic infrared (IR) imaging system that provides accurate measurements of transient thermal response of the skin surface for characterizing lesions. Our hypothesis was that malignant pigmented lesions with increased proliferative potential generate quantifiable amounts of heat and possess an ability to reheat more quickly than the surrounding normal skin, thereby creating a marker of melanoma lesions vs. non-proliferative nevi. In our previous studies, we demonstrated that the visualization and measurement of the transient thermal response of the skin to a cooling excitation can aid the identification of skin lesions of different origin. This capability of distinguishing benign from malignant pigmented lesions is expected to improve the specificity and sensitivity for melanoma as well as other skin cancers, while decreasing the number of unnecessary biopsies. In this work, in order to quantify the transient thermal response with high accuracy, we present a processing framework on multimodal images, which includes a feature point (landmark) detection module, an IR image registration module that uses the resulting landmarks to correct involuntary body/limb motion and an interactive white-light image segmentation module to delineate the contours of the lesions. The proposed method is tested in a pilot patient study in which all the patients possess a pigmented lesion with a clinical indication for biopsy. After scanning, biopsying, and grading the lesions for malignant potential, we observe that the results of our approach match well with the biopsy results.
机译：我们最近开发了一种动态红外（IR）成像系统，该系统可准确测量皮肤表面的瞬态热响应，以表征病变。我们的假设是，具有增生潜能的恶性色素沉着病变会产生可量化的热量，并且具有比周围正常皮肤更快的再热能力，从而形成了黑色素瘤病变与非增殖性痣的标志物。在我们以前的研究中，我们证明了皮肤对冷却激发的瞬态热响应的可视化和测量可以帮助识别不同来源的皮肤病变。这种区分良性和恶性色素病变的能力有望改善黑素瘤以及其他皮肤癌的特异性和敏感性，同时减少不必要的活检次数。在这项工作中，为了高精度地量化瞬态热响应，我们提出了一种对多峰图像的处理框架，其中包括一个特征点（地标）检测模块，一个红外图像配准模块，该模块使用生成的界标来校正非自愿体/肢体运动和交互式白光图像分割模块来描绘病变的轮廓。在一项先导患者研究中对提出的方法进行了测试，在该研究中，所有患者均患有色素沉着病变，并具有活检的临床指征。在扫描，活检并对病变的恶性程度进行分级之后，我们观察到我们方法的结果与活检结果非常吻合。

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