• DocumentCode
    139346
  • Title

    Automated fetal cardiac valve movement detection for modified myocardial performance index calculation

  • Author

    Jingjing Wang ; Henry, Amanda ; Welsh, Alec W. ; Redmond, Stephen J.

  • Author_Institution
    Grad. Sch. of Biomed. Eng., UNSW Australia, Sydney, NSW, Australia
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    1063
  • Lastpage
    1066
  • Abstract
    The Modified Myocardial Performance Index (Mod-MPI) is becoming an important index in fetal cardiac function evaluation. However, the current method for Mod-MPI calculation can be time-consuming and demonstrates poor inter-operator repeatability. This paper presents an automated method for detecting the opening and closing events of fetal cardiac valves with the aim of automating the Mod-MPI calculation. Fifty-four Doppler ultrasound images, showing blood inflow and outflow for the left ventricle, are analyzed to attempt to automatically detect the timings of a total of 905 opening and closing events for both aortic and mitral valves. Timings are found according to the morphological characteristics of waveforms as well as intensity information of images. The proposed method can detect the four valve movement events with high sensitivity (95.60-98.64%) and precision (96.85-100.00%). Results are verified by comparison with manual annotation of same images from an expert.
  • Keywords
    Doppler measurement; biomedical ultrasonics; cardiology; haemodynamics; medical image processing; Doppler ultrasound images; aortic valve movement detection; automated fetal cardiac valve movement detection; blood inflow analysis; blood outflow analysis; left ventricle; mitral valve movement detection; modified myocardial performance index calculation; waveform morphological characteristics; Doppler effect; Indexes; Manuals; Myocardium; Performance analysis; Ultrasonic imaging; Valves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6943777
  • Filename
    6943777