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Three-dimensional regional strain computation method with displacement encoding with stimulated echoes (DENSE) in non-ischemic, non-valvular dilated cardiomyopathy patients and healthy subjects validated by tagged MRI

Authors :
Michael K. Pasque
Andrew K. Knutsen
Julia Kar
Xiaodong Zhong
Brian P. Cupps
Source :
Journal of Magnetic Resonance Imaging. 41:386-396
Publication Year :
2014
Publisher :
Wiley, 2014.

Abstract

Purpose Fast cine displacement encoding with stimulated echoes (DENSE) MR has higher spatial resolution and enables rapid postprocessing. Thus we compared the accuracy of regional strains computation by DENSE with tagged MR in healthy and non-ischemic, non-valvular dilated cardiomyopathy (DCM) subjects. Materials and Methods Validation of three-dimensional regional strains computed with DENSE was conducted in reference to standard tagged MRI (TMRI) in healthy subjects and patients with DCM. Additional repeatability studies in healthy subjects were conducted to increase confidence in DENSE. A meshfree multiquadrics radial point interpolation method (RPIM) was used for computing Lagrange strains in sixteen left ventricular segments. Bland-Altman analysis and Student's t-tests were conducted to observe similarities in regional strains between sequences and in DENSE repeatability studies. Results Regional circumferential strains ranged from −0.21 ± 0.07 (Lateral–Apex) to −0.11 ± 0.05 (Posterorseptal–Base) in healthy subjects and −0.15 ± 0.04 (Anterior–Apex) to −0.02 ± 0.08 (Posterorseptal–Base) in DCM patients. Computed mean differences in regional circumferential strain from the DENSE-TMRI comparison study was 0.01 ± 0.03 (95% limits of agreement) in normal subjects, −0.01 ± 0.06 in DCM patients and 0.0 ± 0.02 in repeatability studies, with similar agreements in longitudinal and radial strains. Conclusion We found agreement between DENSE and tagged MR in patients and volunteers in terms of evaluation of regional strains. J. Magn. Reson. Imaging 2015;41:386–396.© 2013 Wiley Periodicals, Inc.

Details

ISSN :
10531807
Volume :
41
Database :
OpenAIRE
Journal :
Journal of Magnetic Resonance Imaging
Accession number :
edsair.doi...........ce87f3b1af926509bd012ea18fb4e0d6
Full Text :
https://doi.org/10.1002/jmri.24576