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Multispectral imaging based on a Smartphone with an External CMOS camera for Detection of Seborrheic Dermatitis on the Scalp

Title
Multispectral imaging based on a Smartphone with an External CMOS camera for Detection of Seborrheic Dermatitis on the Scalp
Authors
Kim, ManjaeKim, SewoongHwang, MinjooKim, JihunJe, MinkyuJang, Jae EunLee, Dong HunHwang, Jae Youn
DGIST Authors
Kim, Manjae; Kim, Sewoong; Hwang, Minjoo; Kim, Jihun; Jang, Jae EunHwang, Jae Youn
Issue Date
2017
Citation
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XV, 10068
Type
Conference
Article Type
Conference Paper
ISBN
9781510000000
ISSN
1605-7422
Abstract
To date, the incident rates of various skin diseases have increased due to hereditary and environmental factors including stress, irregular diet, pollution, etc. Among these skin diseases, seborrheic dermatitis and psoriasis are a chronic/relapsing dermatitis involving infection and temporary alopecia. However, they typically exhibit similar symptoms, thus resulting in difficulty in discrimination between them. To prevent their associated complications and appropriate treatments for them, it is crucial to discriminate between seborrheic dermatitis and psoriasis with high specificity and sensitivity and further continuously/quantitatively to monitor the skin lesions during their treatment at other locations besides a hospital. Thus, we here demonstrate a mobile multispectral imaging system connected to a smartphone for selfdiagnosis of seborrheic dermatitis and further discrimination between seborrheic dermatitis and psoriasis on the scalp, which is the more challenging case. Using the system developed, multispectral imaging and analysis of seborrheic dermatitis and psoriasis on the scalp was carried out. It was here found that the spectral signatures of seborrheic dermatitis and psoriasis were discernable and thus seborrheic dermatitis on the scalp could be distinguished from psoriasis by using the system. In particular, the smartphone-based multispectral imaging and analysis moreover offered better discrimination between seborrheic dermatitis and psoriasis than the RGB imaging and analysis. These results suggested that the multispectral imaging system based on a smartphone has the potential for self-diagnosis of seborrheic dermatitis with high portability and specificity. © 2017 SPIE.
URI
http://hdl.handle.net/20.500.11750/4314
DOI
10.1117/12.2251707
Publisher
SPIE
Related Researcher
  • Author Hwang, Jae Youn MBIS(Multimodal Biomedical Imaging and System) Laboratory
  • Research Interests
Files:
There are no files associated with this item.
Collection:
Information and Communication EngineeringAdvanced Electronic Devices Research Group(AEDRG)2. Conference Papers


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