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Signal processing in urodynamics: towards high definition urethral pressure profilometry

BACKGROUND: Urethral pressure profilometry (UPP) is used in the diagnosis of stress urinary incontinence (SUI) which is a significant medical, social, and economic problem. Low spatial pressure resolution, common occurrence of artifacts, and uncertainties in data location limit the diagnostic value...

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Autores principales: Klünder, Mario, Sawodny, Oliver, Amend, Bastian, Ederer, Michael, Kelp, Alexandra, Sievert, Karl-Dietrich, Stenzl, Arnulf, Feuer, Ronny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802619/
https://www.ncbi.nlm.nih.gov/pubmed/27000558
http://dx.doi.org/10.1186/s12938-016-0145-6
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author Klünder, Mario
Sawodny, Oliver
Amend, Bastian
Ederer, Michael
Kelp, Alexandra
Sievert, Karl-Dietrich
Stenzl, Arnulf
Feuer, Ronny
author_facet Klünder, Mario
Sawodny, Oliver
Amend, Bastian
Ederer, Michael
Kelp, Alexandra
Sievert, Karl-Dietrich
Stenzl, Arnulf
Feuer, Ronny
author_sort Klünder, Mario
collection PubMed
description BACKGROUND: Urethral pressure profilometry (UPP) is used in the diagnosis of stress urinary incontinence (SUI) which is a significant medical, social, and economic problem. Low spatial pressure resolution, common occurrence of artifacts, and uncertainties in data location limit the diagnostic value of UPP. To overcome these limitations, high definition urethral pressure profilometry (HD-UPP) combining enhanced UPP hardware and signal processing algorithms has been developed. In this work, we present the different signal processing steps in HD-UPP and show experimental results from female minipigs. METHODS: We use a special microtip catheter with high angular pressure resolution and an integrated inclination sensor. Signals from the catheter are filtered and time-correlated artifacts removed. A signal reconstruction algorithm processes pressure data into a detailed pressure image on the urethra’s inside. Finally, the pressure distribution on the urethra’s outside is calculated through deconvolution. A mathematical model of the urethra is contained in a point-spread-function (PSF) which is identified depending on geometric and material properties of the urethra. We additionally investigate the PSF’s frequency response to determine the relevant frequency band for pressure information on the urinary sphincter. RESULTS: Experimental pressure data are spatially located and processed into high resolution pressure images. Artifacts are successfully removed from data without blurring other details. The pressure distribution on the urethra’s outside is reconstructed and compared to the one on the inside. Finally, the pressure images are mapped onto the urethral geometry calculated from inclination and position data to provide an integrated image of pressure distribution, anatomical shape, and location. CONCLUSIONS: With its advanced sensing capabilities, the novel microtip catheter collects an unprecedented amount of urethral pressure data. Through sequential signal processing steps, physicians are provided with detailed information on the pressure distribution in and around the urethra. Therefore, HD-UPP overcomes many current limitations of conventional UPP and offers the opportunity to evaluate urethral structures, especially the sphincter, in context of the correct anatomical location. This could enable the development of focal therapy approaches in the treatment of SUI. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12938-016-0145-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-48026192016-03-22 Signal processing in urodynamics: towards high definition urethral pressure profilometry Klünder, Mario Sawodny, Oliver Amend, Bastian Ederer, Michael Kelp, Alexandra Sievert, Karl-Dietrich Stenzl, Arnulf Feuer, Ronny Biomed Eng Online Research BACKGROUND: Urethral pressure profilometry (UPP) is used in the diagnosis of stress urinary incontinence (SUI) which is a significant medical, social, and economic problem. Low spatial pressure resolution, common occurrence of artifacts, and uncertainties in data location limit the diagnostic value of UPP. To overcome these limitations, high definition urethral pressure profilometry (HD-UPP) combining enhanced UPP hardware and signal processing algorithms has been developed. In this work, we present the different signal processing steps in HD-UPP and show experimental results from female minipigs. METHODS: We use a special microtip catheter with high angular pressure resolution and an integrated inclination sensor. Signals from the catheter are filtered and time-correlated artifacts removed. A signal reconstruction algorithm processes pressure data into a detailed pressure image on the urethra’s inside. Finally, the pressure distribution on the urethra’s outside is calculated through deconvolution. A mathematical model of the urethra is contained in a point-spread-function (PSF) which is identified depending on geometric and material properties of the urethra. We additionally investigate the PSF’s frequency response to determine the relevant frequency band for pressure information on the urinary sphincter. RESULTS: Experimental pressure data are spatially located and processed into high resolution pressure images. Artifacts are successfully removed from data without blurring other details. The pressure distribution on the urethra’s outside is reconstructed and compared to the one on the inside. Finally, the pressure images are mapped onto the urethral geometry calculated from inclination and position data to provide an integrated image of pressure distribution, anatomical shape, and location. CONCLUSIONS: With its advanced sensing capabilities, the novel microtip catheter collects an unprecedented amount of urethral pressure data. Through sequential signal processing steps, physicians are provided with detailed information on the pressure distribution in and around the urethra. Therefore, HD-UPP overcomes many current limitations of conventional UPP and offers the opportunity to evaluate urethral structures, especially the sphincter, in context of the correct anatomical location. This could enable the development of focal therapy approaches in the treatment of SUI. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12938-016-0145-6) contains supplementary material, which is available to authorized users. BioMed Central 2016-03-22 /pmc/articles/PMC4802619/ /pubmed/27000558 http://dx.doi.org/10.1186/s12938-016-0145-6 Text en © Klünder et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Klünder, Mario
Sawodny, Oliver
Amend, Bastian
Ederer, Michael
Kelp, Alexandra
Sievert, Karl-Dietrich
Stenzl, Arnulf
Feuer, Ronny
Signal processing in urodynamics: towards high definition urethral pressure profilometry
title Signal processing in urodynamics: towards high definition urethral pressure profilometry
title_full Signal processing in urodynamics: towards high definition urethral pressure profilometry
title_fullStr Signal processing in urodynamics: towards high definition urethral pressure profilometry
title_full_unstemmed Signal processing in urodynamics: towards high definition urethral pressure profilometry
title_short Signal processing in urodynamics: towards high definition urethral pressure profilometry
title_sort signal processing in urodynamics: towards high definition urethral pressure profilometry
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802619/
https://www.ncbi.nlm.nih.gov/pubmed/27000558
http://dx.doi.org/10.1186/s12938-016-0145-6
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