Literature DB >> 24923710

Quantification of left ventricular volumes, mass, and ejection fraction using cine displacement encoding with stimulated echoes (DENSE) MRI.

Christopher M Haggerty1, Sage P Kramer, Oskar Skrinjar, Cassi M Binkley, David K Powell, Andrea C Mattingly, Frederick H Epstein, Brandon K Fornwalt.   

Abstract

PURPOSE: To test the hypothesis that magnitude images from cine displacement encoding with stimulated echoes (DENSE) magnetic resonance imaging (MRI) can accurately quantify left ventricular (LV) volumes, mass, and ejection fraction (EF).
MATERIALS AND METHODS: Thirteen mice (C57BL/6J) were imaged using a 7T ClinScan MRI. A short-axis stack of cine T2-weighted black blood (BB) images was acquired for calculation of LV volumes, mass, and EF using the gold standard sum-of-slices methodology. DENSE images were acquired during the same imaging session in three short-axis (basal, mid, apical) and two long-axis orientations. A custom surface fitting algorithm was applied to epicardial and endocardial borders from the DENSE magnitude images to calculate volumes, mass, and EF. Agreement between the DENSE-derived measures and BB-derived measures was assessed via coefficient of variation (CoV).
RESULTS: 3D surface reconstruction was completed on the order of seconds from segmented images, and required fewer slices to be segmented. Volumes, mass, and EF from DENSE-derived surfaces matched well with BB data (CoVs ≤11%).
CONCLUSION: LV mass, volumes, and EF in mice can be quantified through sparse (five slices) sampling with DENSE. This consolidation significantly reduces the time required to assess both mass/volume-based measures of cardiac function and advanced cardiac mechanics.
© 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  DENSE; heart; magnetic resonance imaging; ventricular volume and mass

Mesh:

Year:  2013        PMID: 24923710      PMCID: PMC4311752          DOI: 10.1002/jmri.24350

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  18 in total

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4.  Comparison between tagged MRI and standard cine MRI for evaluation of left ventricular ejection fraction.

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8.  Measurement of myocardial mechanics in mice before and after infarction using multislice displacement-encoded MRI with 3D motion encoding.

Authors:  Wesley D Gilson; Zequan Yang; Brent A French; Frederick H Epstein
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9.  Left ventricular wall thickness and regional systolic function in patients with hypertrophic cardiomyopathy. A three-dimensional tagged magnetic resonance imaging study.

Authors:  S J Dong; J H MacGregor; A P Crawley; E McVeigh; I Belenkie; E R Smith; J V Tyberg; R Beyar
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10.  Human heart: tagging with MR imaging--a method for noninvasive assessment of myocardial motion.

Authors:  E A Zerhouni; D M Parish; W J Rogers; A Yang; E P Shapiro
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  6 in total

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2.  Left ventricular mechanical dysfunction in diet-induced obese mice is exacerbated during inotropic stress: a cine DENSE cardiovascular magnetic resonance study.

Authors:  Christopher M Haggerty; Andrea C Mattingly; Sage P Kramer; Cassi M Binkley; Linyuan Jing; Jonathan D Suever; David K Powell; Richard J Charnigo; Frederick H Epstein; Brandon K Fornwalt
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3.  Obesity reduces left ventricular strains, torsion, and synchrony in mouse models: a cine displacement encoding with stimulated echoes (DENSE) cardiovascular magnetic resonance study.

Authors:  Sage P Kramer; David K Powell; Christopher M Haggerty; Cassi M Binkley; Andrea C Mattingly; Lisa A Cassis; Frederick H Epstein; Brandon K Fornwalt
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4.  Simplified post processing of cine DENSE cardiovascular magnetic resonance for quantification of cardiac mechanics.

Authors:  Jonathan D Suever; Gregory J Wehner; Christopher M Haggerty; Linyuan Jing; Sean M Hamlet; Cassi M Binkley; Sage P Kramer; Andrea C Mattingly; David K Powell; Kenneth C Bilchick; Frederick H Epstein; Brandon K Fornwalt
Journal:  J Cardiovasc Magn Reson       Date:  2014-11-28       Impact factor: 5.364

5.  Automatic segmentation of the left ventricle in cardiac MRI using local binary fitting model and dynamic programming techniques.

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  6 in total

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