Quantification of collagen fiber orientation based on center line of second harmonic generation image for naturally aging skins
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Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory of Photonic Technology, Fujian Provincial Engineering Technology Research Center of Photoelectric Sens-ing Application, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China

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    Abstract:

    Quantification of fiber orientation is the key to characterizing the tissue mechanical properties and diagnosing diseases. A center line-based algorithm is presented for estimating the orientation distribution that first skeletonizes a binary image of fibers, followed by orientation estimation using a weight vector summation algorithm along the center line of image. Then we use the orientation at the skeleton to approximate the orientation of each pixel between the boundary and skeleton. The algorithm is applied for characterizing collagen fibers of mouse skins in second harmonic generation (SHG) image, and the circle standard deviation of orientation could be a biomarker to differentiate the naturally aging skins.

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LI Zhi-fang, QIU Shao-ping, WUShu-lian, LIHui. Quantification of collagen fiber orientation based on center line of second harmonic generation image for naturally aging skins[J]. Optoelectronics Letters,2018,14(4):306-310

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History
  • Received:February 10,2018
  • Revised:April 25,2018
  • Online: July 26,2018
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