Quantification of collagen fiber orientation based on center line of second harmonic generation image for naturally aging skins
CSTR:
Author:
Affiliation:

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

  • Article
  • | |
  • Metrics
  • |
  • Reference [19]
  • |
  • Related [20]
  • | | |
  • Comments
    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.

    Reference
    [1] L.G. Di, S.M. Sweeney, J. Korkko, L. Ala-Kokko and J.D. San Antonio, Journal of Biological Chemistry 277, 4223 (2002).
    [2] S. Wu, H. Li, H. Yang, X. Zhang, Z. Li and S. Xu, Journal of Biomedical Optics 16, 040502 (2011).
    [3] G. Chagnon, M. Rebouah and D. Favier, Journal of Elasticity 120, 129 (2015).
    [4] H. Majeed, C. Okoro, A. Kajdaccsy-Balla and K.C. Toussaint Jr., Journal of Biomedical Optics 22, 46004 (2017).
    [5] C.J. Goergen, H.H. Chen, S. Sakad?i?, V.J. Srinivasan and D.E. Sosnovik, Physiological Reports 4, e12894 (2016).
    [6] R.A. Rao, M.R. Mehta and K.C. Toussaint Jr., Optics Express 17, 14534 (2009).
    [7] C. Bayan, J.M. Levitt, E. Miller, D. Kaplan and I. Georgakoudi, Journal of Applied Physics 105, 102042 (2009).
    [8] C.J. Goergen, H. Radhakrishnan, S. Sakadzic, E.T. Mandeville, E.H. Lo, D.E. Sosnovik and V.J. Srinivasan, Optics Letters 37, 3882 (2012).
    [9] C.P. Fleming, C.M. Ripplinger, B. Webb, I.R. Efimov and A.M. Rollins, J. Biomed. Opt. 13, 030505 (2008).
    [10] Y. Gan and C.P. Fleming, Biomedical Optics Express 4, 2150 (2013).
    [11] Y. Wang, K. Zhang, N.B. Wasala, X. Yao, D. Duan and G. YAO, Biomedical Optics Express 5, 2843 (2014).
    [12] C.M. Ambrosi, V.V. Fedorov, R.B. Schuessler, A.M. Rollins and I.R. Efimov, Journal of Biomedical Optics 17, 071309 (2012).
    [13] K.P. Quinn and I. Georgakoudi, Journal of Biomedical Optics 18, 046003 (2013).
    [14] W. Yao, Y. Gan, K.M. Myers, J.Y. Vink, R.J. Wapner and C.P. Hendon, Plos One 11, e0166709 (2016).
    [15] Zhiyi Liu, K.P. Quinn, L. Speroni, L. Arendt, C. Kuperwasser, C. Sonnenschein, A.M. Soto and I. Georgakoudi, Biomedical Optics Express 6, 2294 (2015).
    [16] J. Liu, W. Li and Y. Tian, Automatic Thresholding of Gray-level Pictures Using Two-dimension Otsu Method, International Conference on Circuits and Systems, 325 (1991).
    [17] L. Lam, S.W. Lee and C.Y. Suen, IEEE Transactions on Pattern Analysis & Machine Intelligence 14, 869 (1992).
    [18] P. Berens, Journal of Statistical Software 31, 1 (2009).
    [19] L. Pannarale, P. Braidotti, L. d'Alba and E. Gaudio, Acta Anatomica 151, 36 (1994).
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

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

Copy
Share
Article Metrics
  • Abstract:1478
  • PDF: 0
  • HTML: 0
  • Cited by: 0
History
  • Received:February 10,2018
  • Revised:April 25,2018
  • Online: July 26,2018
Article QR Code