• DocumentCode
    717365
  • Title

    Using deconvolution to determine the sphincter strength distribution around the urethra

  • Author

    Klunder, Mario ; Feuer, Ronny ; Sawodny, Oliver ; Ederer, Michael

  • Author_Institution
    Inst. for Syst. Dynamics, Univ. of Stuttgart, Stuttgart, Germany
  • fYear
    2015
  • fDate
    7-9 May 2015
  • Firstpage
    6
  • Lastpage
    11
  • Abstract
    Urethral Pressure Profilometry (UPP) is a tool in the diagnosis of urinary incontinence. The pressure profile along the urethra is measured by a special catheter in order to assess the contraction strength of the sphincter muscle. However, the diagnostic value of pressure profilometry is limited. We seek to increase the diagnostic value by providing a detailed spatial reconstruction of the pressure profile on the outside surface of the urethra. We use deconvolution in order to solve the inverse problem of determining the pressure distribution on the outside of a tube from measured data on the inside. Therefore, we propose a parametric Point-Spread-Function (PSF) and optimize its parameters using a Finite-Element (FE) model. Simulation results verifying accuracy and robustness of this method conclude this work.
  • Keywords
    biological organs; biomedical measurement; catheters; deconvolution; finite element analysis; medical signal processing; muscle; patient diagnosis; pressure measurement; signal reconstruction; deconvolution; finite element model; parametric PSF; point-spread-function; pressure distribution; pressure profile reconstruction; special catheter; sphincter muscle contraction strength; sphincter strength distribution; urethra surface; urethral pressure profilometry; urinary incontinence diagnosis; Accuracy; Catheters; Deconvolution; Electron tubes; Noise; Pressure measurement; Sensors; Biomedical Signal Processing; Deconvolution; Inverse Problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Medical Measurements and Applications (MeMeA), 2015 IEEE International Symposium on
  • Conference_Location
    Turin
  • Type

    conf

  • DOI
    10.1109/MeMeA.2015.7145163
  • Filename
    7145163