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Published in: BMC Cardiovascular Disorders 1/2019

Open Access 01-12-2019 | Technical advance

Strain-encoded cardiac magnetic resonance imaging: a new approach for fast estimation of left ventricular function

Authors: Tomas Lapinskas, Victoria Zieschang, Jennifer Erley, Lukas Stoiber, Bernhard Schnackenburg, Christian Stehning, Rolf Gebker, Amit R. Patel, Keigo Kawaji, Henning Steen, Remigijus Zaliunas, Sören J. Backhaus, Andreas Schuster, Marcus Makowski, Sorin Giusca, Grigorious Korosoglou, Burkert Pieske, Sebastian Kelle

Published in: BMC Cardiovascular Disorders | Issue 1/2019

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Abstract

Background

Recently introduced fast strain-encoded (SENC) cardiac magnetic resonance (CMR) imaging (fast-SENC) provides real-time acquisition of myocardial performance in a single heartbeat. We aimed to test the ability and accuracy of real-time strain-encoded CMR imaging to estimate left ventricular volumes, ejection fraction and mass.

Methods

Thirty-five subjects (12 healthy volunteers and 23 patients with known or suspected coronary artery disease) were investigated. All study participants were imaged at 1.5 Tesla MRI scanner (Achieva, Philips) using an advanced CMR study protocol which included conventional cine and fast-SENC imaging. A newly developed real-time free-breathing SENC imaging technique based on the acquisition of two images with different frequency modulation was employed.

Results

All parameters were successfully derived from fast-SENC images with total study time of 105 s (a 15 s scan time and a 90 s post-processing time). There was no significant difference between fast-SENC and cine imaging in the estimation of LV volumes and EF, whereas fast-SENC underestimated LV end-diastolic mass by 7%.

Conclusion

The single heartbeat fast-SENC technique can be used as a good alternative to cine imaging for the precise calculation of LV volumes and ejection fraction while the technique significantly underestimates LV end-diastolic mass.
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Metadata
Title
Strain-encoded cardiac magnetic resonance imaging: a new approach for fast estimation of left ventricular function
Authors
Tomas Lapinskas
Victoria Zieschang
Jennifer Erley
Lukas Stoiber
Bernhard Schnackenburg
Christian Stehning
Rolf Gebker
Amit R. Patel
Keigo Kawaji
Henning Steen
Remigijus Zaliunas
Sören J. Backhaus
Andreas Schuster
Marcus Makowski
Sorin Giusca
Grigorious Korosoglou
Burkert Pieske
Sebastian Kelle
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Cardiovascular Disorders / Issue 1/2019
Electronic ISSN: 1471-2261
DOI
https://doi.org/10.1186/s12872-019-1031-5

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