Computer Aided Diagnosis of Atopic Dermatitis
Computer Aided Diagnosis of Atopic Dermatitis
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DOI：
10.1016/j.compmedimag.2019.101676
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发表时间：
2020-01-01
影响因子：
5.7
通讯作者：
Pietka, Ewa
中科院分区：
文献类型：
--
作者：
Czajkowska, Joanna;Korzekwa, Szymon;Pietka, Ewa
具有过敏背景的皮肤病，如特应性皮炎，在儿童中常见。这就迫切需要开发一种客观和非侵入性的方法来检查治疗前和治疗期间的皮肤状况。最新的临床研究提到了使用高频超声对皮肤炎症进行成像的好处。炎性皮肤病的一个特征是在高频超声图像中回声入口下方存在浅表低回声带。其测量可用于评估特应性皮炎。为了满足这一需求，本文提出了一种新的全自动方法的特征低回声波段分割。三步方法包括表皮回波进入层检测和分割，并在此基础上分割所寻找的皮肤异常。该算法专用于75 MHz超声探头，可实现12 mm长和4 mm深的皮肤区域的可视化。建议的框架的准确性进行了验证，由两个独立的专家注释的45个临床图像。所获得的结果证明了使用基于超声的皮肤疾病评估框架的益处。(C)2019爱思唯尔有限公司版权所有。
Skin diseases with an allergic background such as atopic dermatitis are commonly noticed in children. This requires an urgent need to develop an objective and non-invasive method to examine the skin condition before and during the therapy. The newest clinical research mention the benefit of using high frequency ultrasound to image inflammation of the skin. A characteristic feature of inflammatory dermatoses is the presence of a superficial hypoechoic band below the echo entry in high frequency ultrasound images. Its measurement can be useful in the assessment of atopic dermatitis. To meet this need, this paper presents a novel fully automatic method for the characteristic hypoechoic band segmentation. A three step methodology includes epidermis echo entry layer detection and segmentation and on this basis the segmentation of the sought skin abnormality. The algorithm is dedicated to 75MHz US probe, which enables visualisation of a skin area of a 12mm length and 4mm depth. The accuracy of the proposed framework was verified on 45 clinical images annotated by two independent experts. The obtained results prove the benefits of using the ultrasound-based skin disease assessment framework. (C) 2019 Elsevier Ltd. All rights reserved.