Title
Contour regularized left ventricular strain analysis from cine MRI
Abstract
Quantitative measurements of left ventricular (LV) strain are important in the diagnosis and management of patients with heart disease and tracking the efficacy of treatments over time. Tagged cardiac magnetic resonance imaging (MRI) is an established method for non-invasively measuring LV strains and strain rates, but non-tagged (or cine) MRI is the most commonly-used cardiac MRI protocol. In this paper, we propose a new algorithm for computing 2-D strains and strain rates from cine MRI that incorporates information from contours drawn at end-diastole and end-systole. These contours are typically drawn anyway at many institutions to compute LV volumes and contain important information on heart's deformation. Validation results on 18 normal human volunteers and 20 patients with myocardial infarction show good agreement between strains computed from cine MRI and those computed from tagged MRI using HARP analysis. Further validation on 45 patients with hypertension demonstrate that diastolic strains computed from cine MRI can measure changes in diastolic function common in hypertensive patients.
Year
DOI
Venue
2008
10.1109/ISBI.2008.4541047
ISBI
Keywords
Field
DocType
biomechanics,cardiac magnetic resonance imaging,heart disease,strain,cardiology,diseases,myocardial infarction,nonrigid image registration,cine mri,hypertension,nonrigid registration,biomedical mri,deformation,mri,heart deformation,left ventricular strain analysis,diastolic strains,left ventricle,image registration,medical image processing,contour propagation,myocardial infarct,magnetic resonance imaging,strain rate,time measurement,protocols,capacitive sensors
Myocardial infarction,Internal medicine,Diastole,Cardiology,Diastolic function,HARP,Cardiac magnetic resonance imaging,Medicine,Image registration,Magnetic resonance imaging,Heart disease
Conference
ISSN
ISBN
Citations 
1945-7928
978-1-4244-2003-2
3
PageRank 
References 
Authors
0.51
8
5
Name
Order
Citations
PageRank
Wei Feng130.51
Thomas S. Denney Jr.2379.17
Steven Lloyd382.00
Louis J. Dell'italia451.94
Himanshu Gupta52653277.86