• DocumentCode
    2721799
  • Title

    Quantitative analysis of tendon ECM damage using MRI

  • Author

    Szilágyi, Tünde ; Harvey, Ann K. ; Brady, Sir Michael ; Cochlin, Lowri ; Joshi, Niranjan

  • Author_Institution
    Dept. of Eng. Sci., Univ. of Oxford, Oxford, UK
  • fYear
    2010
  • fDate
    14-17 April 2010
  • Firstpage
    1365
  • Lastpage
    1368
  • Abstract
    There is a growing demand for non-invasive methods to diagnose tendon injuries and monitor the healing processes of their repair. One particular target is to assess the quality of tendon tissue, which requires imaging modalities, such as Magnetic Resonance Imaging (MRI), that capture structural features of the extracellular matrix (ECM). However, to date there has been limited understanding of the physiological source of intratendinous MRI signal. This paper presents a novel image analysis method, based on low level features, which capture the intrinsic structural properties in order to identify ECM damage. More specifically, continuous intrinsic dimensionality (ciD), based on local image descriptors and derived from the monogenic signal, is used to examine the disruption of 1D structures. The damage measure is summarized using confidence values derived from the bi-modality of local non-parametric probability density functions. Areas of normal and disrupted ECM are detected on MR images of healthy and damaged samples.
  • Keywords
    biological tissues; biomedical MRI; feature extraction; medical image processing; MRI; continuous intrinsic dimensionality; extracellular matrix; image analysis method; intrinsic structural properties; local image descriptors; local non-parametric probability density function bi-modality; low level features; magnetic resonance imaging; quantitative analysis; tendon ECM damage; Biomedical monitoring; Density measurement; Electrochemical machining; Extracellular; Image analysis; Injuries; Magnetic analysis; Magnetic resonance imaging; Probability density function; Tendons; NP windows; intrinsic dimensionality; monogenic signal; tendon MRI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
  • Conference_Location
    Rotterdam
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-4125-9
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2010.5490251
  • Filename
    5490251