Pilot study of semiautomated localization of the dermal/epidermal junction in reflectance confocal microscopy images of skin
Pilot study of semiautomated localization of the dermal/epidermal junction in reflectance confocal microscopy images of skin
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DOI：
10.1117/1.3549740
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发表时间：
2011-03-01
影响因子：
3.5
通讯作者：
Rajadhyaksha, Milind
中科院分区：
文献类型：
--
作者：
Kurugol, Sila;Dy, Jennifer G.;Rajadhyaksha, Milind
反射共聚焦显微镜（RCM）继续被翻译为检测皮肤癌在体内。自动化图像分析可以帮助临床医生并加速RCM的临床接受。对于癌症的筛查和诊断，黑色素瘤和基底细胞癌起源的真皮/表皮连接（DEJ）是皮肤中的重要特征。在RCM图像中，DEJ通过光学上细微的变化和特征来标记，并且难以纯粹通过视觉检查来检测。DEJ检测自动化的挑战包括皮肤组织的异质性、受试者间和受试者内的高变异性以及低光学对比度。为了科普这些挑战，我们提出了一个半自动的混合序列分割/分类算法，分区Z-堆栈的瓷砖成均匀的部分，通过拟合模型的皮肤层动态，然后分类瓷砖段表皮，真皮，或过渡DEJ区域使用纹理特征。我们评估两种不同的训练方案：1。对同一堆栈的部分进行训练和测试; 2.在一个标记的堆栈上进行训练，并在来自具有相似皮肤类型的不同受试者的堆栈上进行测试。初步结果表明，在这两种情况下的DE）的可检测性与表皮/真皮的错误分类率小于10%，平均距离专家标记的边界约8.5 μ m。(C)2011年，美国光电仪器工程师学会（SPIE）。[DOI电话：10.1117/1.3549740]
Reflectance confocal microscopy (RCM) continues to be translated toward the detection of skin cancers in vivo. Automated image analysis may help clinicians and accelerate clinical acceptance of RCM. For screening and diagnosis of cancer, the dermal/epidermal junction (DEJ), at which melanomas and basal cell carcinomas originate, is an important feature in skin. In RCM images, the DEJ is marked by optically subtle changes and features and is difficult to detect purely by visual examination. Challenges for automation of DEJ detection include heterogeneity of skin tissue, high inter-, intra-subject variability, and low optical contrast. To cope with these challenges, we propose a semiautomated hybrid sequence segmentation/classification algorithm that partitions z-stacks of tiles into homogeneous segments by fitting a model of skin layer dynamics and then classifies tile segments as epidermis, dermis, or transitional DEJ region using texture features. We evaluate two different training scenarios: 1. training and testing on portions of the same stack; 2. training on one labeled stack and testing on one from a different subject with similar skin type. Initial results demonstrate the detectability of the DE) in both scenarios with epidermis/dermis misclassification rates smaller than 10% and average distance from the expert labeled boundaries around 8.5 mu m. (C) 2011 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.3549740]