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Semi-automatic motion compensation of contrast-enhanced ultrasound images from abdominal organs for perfusion analysis

  1. 1.
    SYSNO ASEP0450646
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleSemi-automatic motion compensation of contrast-enhanced ultrasound images from abdominal organs for perfusion analysis
    Author(s) Schafer, S. (DE)
    Nylund, K. (NO)
    Saevik, F. (NO)
    Engjom, T. (NO)
    Mézl, M. (CZ)
    Jiřík, Radovan (UPT-D) RID, ORCID, SAI
    Dimcevski, G. (NO)
    Gilja, O.H. (NO)
    Tönnies, K. (DE)
    Number of authors9
    Source TitleComputers in Biology Medicine. - : Elsevier - ISSN 0010-4825
    Roč. 63, AUG 1 (2015), s. 229-237
    Number of pages9 s.
    Publication formPrint - P
    Languageeng - English
    CountryGB - United Kingdom
    Keywordsultrasonography ; motion analysis ; motion compensation ; registration ; CEUS ; contrast-enhanced ultrasound ; perfusion ; perfusion modeling
    Subject RIVFS - Medical Facilities ; Equipment
    R&D ProjectsGAP102/12/2380 GA ČR - Czech Science Foundation (CSF)
    Institutional supportUPT-D - RVO:68081731
    UT WOS000358269300026
    EID SCOPUS84933512433
    DOI10.1016/j.compbiomed.2014.09.014
    AnnotationThis paper presents a system for correcting motion influences in time-dependent 2D contrast-enhanced ultrasound (CEUS) images to assess tissue perfusion characteristics. The system consists of a semiautomatic frame selection method to find images with out-of-plane motion as well as a method for automatic motion compensation. Translational and non-rigid motion compensation is applied by introducing a temporal continuity assumption. A study consisting of 40 clinical datasets was conducted to compare the perfusion with simulated perfusion using pharmacokinetic modeling. Overall, the proposed approach decreased the mean average difference between the measured perfusion and the pharmacokinetic model estimation. It was non-inferior for three out of four patient cohorts to a manual approach and reduced the analysis time by 41% compared to manual processing.
    WorkplaceInstitute of Scientific Instruments
    ContactMartina Šillerová, sillerova@ISIBrno.Cz, Tel.: 541 514 178
    Year of Publishing2016
Number of the records: 1  

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