• DocumentCode
    2499898
  • Title

    CMRI based 3D left ventricle motion analysis on patients with acute myocardial infarction

  • Author

    Gao, H. ; Kadir, K. ; Berry, C. ; Payen, A. ; Soraghan, J. ; Luo, X.

  • Author_Institution
    BHF Glasgow Cardiovascular Res. Center, Univ. of Glasgow, Glasgow, UK
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    6821
  • Lastpage
    6824
  • Abstract
    3D Quantitative measurement of left ventricle (LV) motion on patients with acute myocardial infarction has been recognized as essential for effective LV function diagnosis. This paper presents a method to quantify 3D LV motion obtained from conventional CINE MRI using image analysis based on mathematical modeling. Level set method is employed for segmentation, and a 3D LV geometry was reconstructed by co-registering different views of MRI images. A mathematical model of LV geometry was then constructed to quantitatively describe the LV wall inward motion. The results using real data show that the method is able to quantify the LV inward motion, and can clearly represent the changed motion pattern with the follow-up data. Furthermore, the LV motion analysis for 8 patients with acute myocardial infarction (MI) show that high inward motion occurs mainly in the basal region of LV while a negative relation is found between LV ejection fraction (EF) improvement after acute MI and solely basal region inward motion, which could be helpful for diagnosis and LV EF recovery prediction.
  • Keywords
    biomedical MRI; image reconstruction; image registration; image representation; image segmentation; medical image processing; 3D LV motion; CMRI based 3D left ventricle motion analysis; LV ejection fraction; LV motion analysis; LV wall inward motion; MRI images; acute myocardial infarction; conventional CINE MRI; image analysis; image reconstruction; image registration; image segmentation; level set method; mathematical modeling; Geometry; Image segmentation; Level set; Magnetic resonance imaging; Motion segmentation; Three dimensional displays; Acute Disease; Adult; Coronary Vessels; Female; Heart Ventricles; Humans; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Imaging, Cine; Male; Middle Aged; Models, Theoretical; Motion; Myocardial Infarction; Myocardium; Normal Distribution; Reproducibility of Results; Time Factors; Ventricular Function, Left;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6091682
  • Filename
    6091682