Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/149989
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dc.contributor.authorXie, Junen_US
dc.contributor.authorHao, Tianen_US
dc.contributor.authorLi, Chengxinen_US
dc.contributor.authorWang, Xianghongen_US
dc.contributor.authorYu, Xiaojunen_US
dc.contributor.authorLiu, Linboen_US
dc.date.accessioned2021-05-19T08:00:55Z-
dc.date.available2021-05-19T08:00:55Z-
dc.date.issued2019-
dc.identifier.citationXie, J., Hao, T., Li, C., Wang, X., Yu, X. & Liu, L. (2019). Automatic evaluation of stratum basale and dermal papillae using ultrahigh resolution optical coherence tomography. Biomedical Signal Processing and Control, 53, 101527-. https://dx.doi.org/10.1016/j.bspc.2019.04.004en_US
dc.identifier.issn1746-8094en_US
dc.identifier.urihttps://hdl.handle.net/10356/149989-
dc.description.abstractDiagnosis of many skin conditions requires evaluation of dermal papillae and stratum basale, such as vitiligo. In clinical practice, imaging dermal papillae structures relies on excisional biopsy followed by histological processing and analysis. As biopsy is invasive and associated with complications, a noninvasive imaging method such as optical coherence tomography (OCT) can complement the existing method by enabling large area scanning. However, because OCT image analysis requires training and it takes time to review OCT images from large skin areas, an automatic evaluation method is preferred to reduce the workload and avoid ‘sampling errors’ during image analysis. Here we report an automatic method to enhance and detect dermal papillae and stratum basale in ultrahigh resolution OCT images. A high detection accuracy is achieved by rejecting image artifacts using a surface flattening algorithm and an artifact recognition algorithm. We further demonstrated the efficacy of this automatic method in detecting vitiligo in human subjects.en_US
dc.description.sponsorshipAgency for Science, Technology and Research (A*STAR)en_US
dc.description.sponsorshipMinistry of Education (MOE)en_US
dc.language.isoenen_US
dc.relation2018-T1- 001-144en_US
dc.relationH17/01/a0/008en_US
dc.relation.ispartofBiomedical Signal Processing and Controlen_US
dc.rights© 2019 Elsevier Ltd. All rights reserved. This paper was published in Biomedical Signal Processing and Control and is made available with permission of Elsevier Ltd.en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleAutomatic evaluation of stratum basale and dermal papillae using ultrahigh resolution optical coherence tomographyen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doi10.1016/j.bspc.2019.04.004-
dc.description.versionAccepted versionen_US
dc.identifier.scopus2-s2.0-85067309362-
dc.identifier.volume53en_US
dc.identifier.spage101527en_US
dc.subject.keywordsOptical Coherence Tomographyen_US
dc.subject.keywordsDermal Papillaeen_US
dc.description.acknowledgementThis research is supported by the Ministry of Education Singapore under its Academic Research Fund Tier 1 (2018-T1- 001-144), and Agency for Science, Technology and Research (A*STAR) under its Industrial Alignment Fund (Pre-positioning) (H17/01/a0/008).en_US
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