Density analysis of collagen fibers based on enhanced frangi filter in Second Harmonic Generation virtual biopsy images

Cheng Syun Cai, Chun Fu Chen, Gwo-Giun Lee, Guan Liang Lin, Sin Yo Chou, Ming Rung Tsai, Yi Hua Liao, Chi Kuang Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The density of collagen fibers are automatically evaluated by the proposed algorithm based on enhanced Frangi filter. In optical virtual biopsy, Second Harmonic Generation (SHG) microscopy has been developed and applied to observe collagen fibers in the dermal layer of the human skin. The density of collagen fibers is a feature to describe the condition of collagen fibers which can provide indicator for the early pathological diagnosis and aging characteristic in SHG images. The proposed algorithm is capable of objectively and effectively reflecting that the distributions of collagen fibers are close or loose in virtual biopsy images as revealed by the experimental results. Moreover, the proposed method provides insight into identifying the correlation between the early symptoms of diseases and the density of collagen fibers.

Original languageEnglish
Title of host publication2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages465-469
Number of pages5
ISBN (Electronic)9781479954032
DOIs
Publication statusPublished - 2014 Sep 3
Event2nd IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Xi'an, China
Duration: 2014 Jul 92014 Jul 13

Publication series

Name2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings

Other

Other2nd IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014
CountryChina
CityXi'an
Period14-07-0914-07-13

Fingerprint

Biopsy
Harmonic generation
Collagen
Fibers
Skin
Microscopic examination
Aging of materials

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Signal Processing

Cite this

Cai, C. S., Chen, C. F., Lee, G-G., Lin, G. L., Chou, S. Y., Tsai, M. R., ... Sun, C. K. (2014). Density analysis of collagen fibers based on enhanced frangi filter in Second Harmonic Generation virtual biopsy images. In 2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings (pp. 465-469). [6889286] (2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ChinaSIP.2014.6889286
Cai, Cheng Syun ; Chen, Chun Fu ; Lee, Gwo-Giun ; Lin, Guan Liang ; Chou, Sin Yo ; Tsai, Ming Rung ; Liao, Yi Hua ; Sun, Chi Kuang. / Density analysis of collagen fibers based on enhanced frangi filter in Second Harmonic Generation virtual biopsy images. 2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 465-469 (2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings).
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abstract = "The density of collagen fibers are automatically evaluated by the proposed algorithm based on enhanced Frangi filter. In optical virtual biopsy, Second Harmonic Generation (SHG) microscopy has been developed and applied to observe collagen fibers in the dermal layer of the human skin. The density of collagen fibers is a feature to describe the condition of collagen fibers which can provide indicator for the early pathological diagnosis and aging characteristic in SHG images. The proposed algorithm is capable of objectively and effectively reflecting that the distributions of collagen fibers are close or loose in virtual biopsy images as revealed by the experimental results. Moreover, the proposed method provides insight into identifying the correlation between the early symptoms of diseases and the density of collagen fibers.",
author = "Cai, {Cheng Syun} and Chen, {Chun Fu} and Gwo-Giun Lee and Lin, {Guan Liang} and Chou, {Sin Yo} and Tsai, {Ming Rung} and Liao, {Yi Hua} and Sun, {Chi Kuang}",
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Cai, CS, Chen, CF, Lee, G-G, Lin, GL, Chou, SY, Tsai, MR, Liao, YH & Sun, CK 2014, Density analysis of collagen fibers based on enhanced frangi filter in Second Harmonic Generation virtual biopsy images. in 2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings., 6889286, 2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 465-469, 2nd IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014, Xi'an, China, 14-07-09. https://doi.org/10.1109/ChinaSIP.2014.6889286

Density analysis of collagen fibers based on enhanced frangi filter in Second Harmonic Generation virtual biopsy images. / Cai, Cheng Syun; Chen, Chun Fu; Lee, Gwo-Giun; Lin, Guan Liang; Chou, Sin Yo; Tsai, Ming Rung; Liao, Yi Hua; Sun, Chi Kuang.

2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. p. 465-469 6889286 (2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Cai, Cheng Syun

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AB - The density of collagen fibers are automatically evaluated by the proposed algorithm based on enhanced Frangi filter. In optical virtual biopsy, Second Harmonic Generation (SHG) microscopy has been developed and applied to observe collagen fibers in the dermal layer of the human skin. The density of collagen fibers is a feature to describe the condition of collagen fibers which can provide indicator for the early pathological diagnosis and aging characteristic in SHG images. The proposed algorithm is capable of objectively and effectively reflecting that the distributions of collagen fibers are close or loose in virtual biopsy images as revealed by the experimental results. Moreover, the proposed method provides insight into identifying the correlation between the early symptoms of diseases and the density of collagen fibers.

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Cai CS, Chen CF, Lee G-G, Lin GL, Chou SY, Tsai MR et al. Density analysis of collagen fibers based on enhanced frangi filter in Second Harmonic Generation virtual biopsy images. In 2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. p. 465-469. 6889286. (2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings). https://doi.org/10.1109/ChinaSIP.2014.6889286