Automatic evaluation of stratum basale and dermal papillae using ultrahigh resolution optical coherence tomography
Diagnosis 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 complication...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2021
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| Online Access: | https://hdl.handle.net/10356/149989 |
| _version_ | 1826123452229091328 |
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| author | Xie, Jun Hao, Tian Li, Chengxin Wang, Xianghong Yu, Xiaojun Liu, Linbo |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Xie, Jun Hao, Tian Li, Chengxin Wang, Xianghong Yu, Xiaojun Liu, Linbo |
| author_sort | Xie, Jun |
| collection | NTU |
| description | Diagnosis 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. |
| first_indexed | 2024-10-01T06:04:54Z |
| format | Journal Article |
| id | ntu-10356/149989 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:04:54Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | ntu-10356/1499892021-05-19T08:00:55Z Automatic evaluation of stratum basale and dermal papillae using ultrahigh resolution optical coherence tomography Xie, Jun Hao, Tian Li, Chengxin Wang, Xianghong Yu, Xiaojun Liu, Linbo School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Optical Coherence Tomography Dermal Papillae Diagnosis 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. Agency for Science, Technology and Research (A*STAR) Ministry of Education (MOE) Accepted version This 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). 2021-05-19T08:00:55Z 2021-05-19T08:00:55Z 2019 Journal Article Xie, 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.2019.04.004 1746-8094 https://hdl.handle.net/10356/149989 10.1016/j.bspc.2019.04.004 2-s2.0-85067309362 53 101527 en 2018-T1- 001-144 H17/01/a0/008 Biomedical Signal Processing and Control © 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. application/pdf |
| spellingShingle | Engineering::Electrical and electronic engineering Optical Coherence Tomography Dermal Papillae Xie, Jun Hao, Tian Li, Chengxin Wang, Xianghong Yu, Xiaojun Liu, Linbo Automatic evaluation of stratum basale and dermal papillae using ultrahigh resolution optical coherence tomography |
| title | Automatic evaluation of stratum basale and dermal papillae using ultrahigh resolution optical coherence tomography |
| title_full | Automatic evaluation of stratum basale and dermal papillae using ultrahigh resolution optical coherence tomography |
| title_fullStr | Automatic evaluation of stratum basale and dermal papillae using ultrahigh resolution optical coherence tomography |
| title_full_unstemmed | Automatic evaluation of stratum basale and dermal papillae using ultrahigh resolution optical coherence tomography |
| title_short | Automatic evaluation of stratum basale and dermal papillae using ultrahigh resolution optical coherence tomography |
| title_sort | automatic evaluation of stratum basale and dermal papillae using ultrahigh resolution optical coherence tomography |
| topic | Engineering::Electrical and electronic engineering Optical Coherence Tomography Dermal Papillae |
| url | https://hdl.handle.net/10356/149989 |
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