Paper Info
Title
Detecting left ventricular impaired relaxation using MR imaging
Abstract
This study investigates automatic assessment of the left ventricular (LV) diastolic function using cine cardiac magnetic resonance (MR) imaging. Most of the existing LV assessment algorithms addressed the systolic function, which essentially pertains to the analysis of regional wall motion abnormalities or the estimation of the ejection fraction. However, several recent clinical studies suggested that evaluating the diastolic function is essential. The diastolic function plays an important role in assessing cardiovascular abnormalities, particularly in the case of heart failure with preserved ejection fraction. The assessments of LV relaxation and stiffness abnormalities can be achieved with cardiac MR imaging. Unlike with transthoracic echocardiography, MR is not limited by an acoustic window, and allows exhaustive myocardial imaging with excellent spatial resolution. We propose an algorithm that evaluates the LV relaxation from short-axis cine MR images. The method is based on three main steps: (1) non-rigid registration, which yields a sequence of points over time, given a user-provided contour on the first frame; (2) computations of the LV filling rate and volume over the cardiac cycle; and (3) automatic detection of the maxima of the E and A waves. We report comprehensive experimental evaluations over MR data sets acquired from 53 subjects, including comparisons with independent reports for the same subjects from echocar-diography. The proposed algorithm yielded a Kappa measure of 0.66, a substantial agreement with the echocardiography results.
Year
DOI
Venue
2014
10.1109/BHI.2014.6864365
Biomedical and Health Informatics
Keywords
Field
DocType
biomechanics,biomedical MRI,blood pressure measurement,blood vessels,cardiovascular system,diseases,echocardiography,elastic constants,image registration,medical image processing,A waves,E waves,LV assessment algorithms,LV filling rate,LV relaxation estimation,acoustic window,automatic assessment,cardiac MR imaging,cardiac cycle,cardiovascular abnormalities,cine cardiac magnetic resonance imaging,ejection fraction estimation,heart failure,left ventricular diastolic function,left ventricular impaired relaxation detection,myocardial imaging,nonrigid registration,point sequence,preserved ejection fraction,regional wall motion abnormality analysis,short-axis cine MR images,spatial resolution,stiffness abnormalities,systolic function,transthoracic echocardiography,user-provided contour
Mr imaging,Data set,Ejection fraction,Internal medicine,Cardiology,Diastolic function,Cardiac magnetic resonance,Myocardial imaging,Cardiac cycle,Medicine,Heart failure with preserved ejection fraction
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Kumaradevan Punithakumar121624.40
Noga, M.2107.74
Boulanger, P.32810.62
Ben Ayed, I.41175.20