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 Chris 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

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Signal Processing

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