title: Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences.
abstract: Anatomical cine cardiovascular magnetic resonance (CMR) imaging is widely used to assess the systolic cardiac function because of its high soft tissue contrast. Assessment of diastolic LV function has not regularly been performed due the complex and time consuming procedures. This study presents a semi-automated assessment of the left ventricular (LV) diastolic function using anatomical short-axis cine CMR images. The proposed method is based on three main steps: (1) non-rigid registration, which yields a sequence of endocardial boundary points over the cardiac cycle based on a user-provided contour on the first frame; (2) LV volume and filling rate computations over the cardiac cycle; and (3) automated detection of the peak values of early (E) and late ventricular (A) filling waves. In 47 patients cine CMR imaging and Doppler-echocardiographic imaging were performed. CMR measurements of peak values of the E and A waves as well as the deceleration time were compared with the corresponding values obtained in Doppler-Echocardiography. For the E/A ratio the proposed algorithm for CMR yielded a Cohen's kappa measure of 0.70 and a Gwet's AC1 coefficient of 0.70.
  
  
  CONCLUSIONS
  Semi-automated assessment of the left ventricular (LV) diastolic function using anatomical short-axis cine CMR images provides mitral inflow measurements comparable to Doppler-Echocardiography.
authors.affiliation: Servier Virtual Cardiac Centre, Mazankowski Alberta Heart Institute, Edmonton, Alberta, Canada; Department of Radiology & Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada. Electronic address: punithak@ualberta.ca.
authors.forename: Kumaradevan
authors.initials: K
authors.lastname: Punithakumar
authors.affiliation: Ecole de Technologie Superieure (ETS), University of Quebec, Montreal, QC, Canada.
authors.forename: Ismail
authors.initials: I
authors.lastname: Ben Ayed
authors.affiliation: Dept. of Medical Imaging, Sunnybrook Health Science Centre, Toronto, ON, Canada.
authors.forename: Mariam
authors.initials: M
authors.lastname: Afshin
authors.affiliation: London Health Sciences Centre, London, ON, Canada.
authors.forename: Aashish
authors.initials: A
authors.lastname: Goela
authors.affiliation: St. Joseph's Health Care, London, ON, Canada.
authors.forename: Ali
authors.initials: A
authors.lastname: Islam
authors.affiliation: Department of Medical Imaging and Medical Biophysics, University of Western Ontario, London, ON, Canada.
authors.forename: Shuo
authors.initials: S
authors.lastname: Li
authors.affiliation: Servier Virtual Cardiac Centre, Mazankowski Alberta Heart Institute, Edmonton, Alberta, Canada; Department of Radiology & Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada; Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada.
authors.forename: Pierre
authors.initials: P
authors.lastname: Boulanger
authors.affiliation: Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, Canada.
authors.forename: Harald
authors.initials: H
authors.lastname: Becher
authors.affiliation: Servier Virtual Cardiac Centre, Mazankowski Alberta Heart Institute, Edmonton, Alberta, Canada; Department of Radiology & Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada.
authors.forename: Michelle
authors.initials: M
authors.lastname: Noga
mesh_terms: D000465:Algorithms; D059925:Anatomic Landmarks / Q000473:pathology / Q000503:physiopathology; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D019028:Magnetic Resonance Imaging, Cine / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013318:Stroke Volume; D013382:Subtraction Technique; D018487:Ventricular Dysfunction, Left / Q000175:diagnosis* / Q000503:physiopathology
keywords: Cardiac left ventricle; Diastolic function; Image registration; Image segmentation; Magnetic resonance imaging