Paper Info
Title
Density analysis of collagen fibers based on enhanced frangi filter in Second Harmonic Generation virtual biopsy images
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.
Year
DOI
Venue
2014
10.1109/ChinaSIP.2014.6889286
ChinaSIP
Keywords
Field
DocType
Collagen fibers, Second Harmonic Generation (SHG), Frangi filter, Otsu's method
Biomedical engineering,Computer vision,Second-harmonic generation,Human skin,Biopsy,Artificial intelligence,Microscopy,Materials science
Conference
ISBN
Citations 
PageRank 
978-1-4799-5401-8
0
0.34
References 
Authors
6
8
Name
Order
Citations
PageRank
Cheng-Syun Cai100.34
Chun-Fu Chen2469.08
Gwo Giun Lee39215.89
Guan-Liang Lin400.34
Sin-Yo Chou530.73
Ming-Rung Tsai651.38
Yihua Liao725116.16
Chi-Kuang Sun851.38