Simplified post processing of cine DENSE cardiovascular magnetic resonance for quantification of cardiac mechanics

Journal of Cardiovascular Magnetic Resonance

Research

David K Powell¹  Frederick H Epstein²  Kenneth C Bilchick³  Jonathan D Suever⁴  Andrea C Mattingly⁴  Linyuan Jing⁴  Christopher M Haggerty⁴  Sage P Kramer⁴  Cassi M Binkley⁴  Brandon K Fornwalt⁵  Gregory J Wehner⁵  Sean M Hamlet⁶ 

[1] Department of Biomedical Engineering, University of Kentucky, Lexington, KY, USA;Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA;Department of Medicine, University of Virginia, Charlottesville, VA, USA;Department of Pediatrics and Saha Cardiovascular Research Center, University of Kentucky, Lexington, KY, USA;Department of Pediatrics and Saha Cardiovascular Research Center, University of Kentucky, Lexington, KY, USA;Department of Biomedical Engineering, University of Kentucky, Lexington, KY, USA;Department of Pediatrics and Saha Cardiovascular Research Center, University of Kentucky, Lexington, KY, USA;Department of Electrical Engineering, University of Kentucky, Lexington, KY, USA;

关键词: DENSE;    Cardiovascular magnetic resonance;    Cardiac mechanics;   

DOI  :  10.1186/s12968-014-0094-9

 received in 2014-05-21, accepted in 2014-11-14,  发布年份 2014

来源: Springer

【 摘 要 】

BackgroundCardiovascular magnetic resonance using displacement encoding with stimulated echoes (DENSE) is capable of assessing advanced measures of cardiac mechanics such as strain and torsion. A potential hurdle to widespread clinical adoption of DENSE is the time required to manually segment the myocardium during post-processing of the images. To overcome this hurdle, we proposed a radical approach in which only three contours per image slice are required for post-processing (instead of the typical 30–40 contours per image slice). We hypothesized that peak left ventricular circumferential, longitudinal and radial strains and torsion could be accurately quantified using this simplified analysis.Methods and ResultsWe tested our hypothesis on a large multi-institutional dataset consisting of 541 DENSE image slices from 135 mice and 234 DENSE image slices from 62 humans. We compared measures of cardiac mechanics derived from the simplified post-processing to those derived from original post-processing utilizing the full set of 30–40 manually-defined contours per image slice. Accuracy was assessed with Bland-Altman limits of agreement and summarized with a modified coefficient of variation. The simplified technique showed high accuracy with all coefficients of variation less than 10% in humans and 6% in mice. The accuracy of the simplified technique was also superior to two previously published semi-automated analysis techniques for DENSE post-processing.ConclusionsAccurate measures of cardiac mechanics can be derived from DENSE cardiac magnetic resonance in both humans and mice using a simplified technique to reduce post-processing time by approximately 94%. These findings demonstrate that quantifying cardiac mechanics from DENSE data is simple enough to be integrated into the clinical workflow.

【 授权许可】

Unknown   
© Suever et al.; licensee BioMed Central Ltd. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.