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Computer Aided Diagnosis of Atopic Dermatitis
Joanna Czajkowska1, Szymon Korzekwa2, Ewa Pietka1
1Faculty of Biomedical Engineering, Silesian University of Technology.
Insights
This study introduces an automated method using high-frequency ultrasound to precisely measure a skin abnormality linked to allergic skin conditions like atopic dermatitis in children. This non-invasive technique aids in objective assessment before and during treatment.
Area of Science:
- Dermatology
- Medical Imaging
- Biomedical Engineering
Background:
- Allergic skin diseases, such as atopic dermatitis, are prevalent in children, necessitating objective, non-invasive assessment methods.
- Current diagnostic approaches for inflammatory dermatoses lack objective, non-invasive tools for evaluating skin conditions during therapy.
- High-frequency ultrasound (HFUS) shows promise for imaging skin inflammation, with a characteristic superficial hypoechoic band observed in inflammatory dermatoses.
Purpose of the Study:
- To develop and validate a fully automatic method for segmenting the superficial hypoechoic band in high-frequency ultrasound images.
- To provide an objective, non-invasive tool for assessing inflammatory skin conditions, specifically atopic dermatitis, in pediatric patients.
- To enhance the clinical utility of high-frequency ultrasound in dermatology by automating the analysis of key diagnostic features.
Main Methods:
- A novel three-step automated algorithm was developed for segmenting the hypoechoic band.
- The methodology involved epidermis echo entry layer detection and segmentation, followed by segmentation of the target skin abnormality.
- The algorithm was specifically designed for a 75MHz ultrasound probe, capable of visualizing a 12mm length and 4mm depth skin area.
Main Results:
- The proposed automated segmentation method demonstrated high accuracy in identifying the characteristic hypoechoic band.
- Validation was performed on 45 clinical ultrasound images, with annotations provided by two independent experts.
- The results confirm the framework's effectiveness in objectively assessing skin abnormalities indicative of inflammatory dermatoses.
Conclusions:
- The developed automated high-frequency ultrasound segmentation framework offers a reliable and non-invasive method for assessing inflammatory skin conditions.
- This approach can significantly aid in the objective evaluation and management of pediatric allergic skin diseases like atopic dermatitis.
- The study highlights the potential of advanced imaging analysis techniques to improve dermatological diagnostics and patient care.
Abstract:
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.
