Volume 81, Issue 3 pp. 1714-1725
FULL PAPER

Real-time Triggered RAdial Single-Shot Inversion recovery for arrhythmia-insensitive myocardial T1 mapping: motion phantom validation and in vivo comparison

Daniel Gensler

Daniel Gensler

Comprehensive Heart Failure Center (CHFC), University Hospital Würzburg, Würzburg, Germany

Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany

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Tim Salinger

Tim Salinger

Comprehensive Heart Failure Center (CHFC), University Hospital Würzburg, Würzburg, Germany

Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany

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Markus Düring

Markus Düring

Experimental Physics 5, University of Würzburg, Würzburg, Germany

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Kristina Lorenz

Kristina Lorenz

Comprehensive Heart Failure Center (CHFC), University Hospital Würzburg, Würzburg, Germany

Department of Biomedical Research, Leibniz Institute for Analytical Sciences (ISAS) e.V, Dortmund, Germany

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Roland Jahns

Roland Jahns

Comprehensive Heart Failure Center (CHFC), University Hospital Würzburg, Würzburg, Germany

Interdisciplinary Bank of Biomaterials and Data (IBDW), University Hospital Würzburg, Würzburg, Germany

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Tobias Wech

Tobias Wech

Comprehensive Heart Failure Center (CHFC), University Hospital Würzburg, Würzburg, Germany

Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany

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Stefan Frantz

Stefan Frantz

Comprehensive Heart Failure Center (CHFC), University Hospital Würzburg, Würzburg, Germany

Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany

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Georg Ertl

Georg Ertl

Comprehensive Heart Failure Center (CHFC), University Hospital Würzburg, Würzburg, Germany

Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany

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Peter M. Jakob

Peter M. Jakob

Experimental Physics 5, University of Würzburg, Würzburg, Germany

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Peter Nordbeck

Corresponding Author

Peter Nordbeck

Comprehensive Heart Failure Center (CHFC), University Hospital Würzburg, Würzburg, Germany

Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany

Correspondence

Peter Nordbeck, Department of Internal Medicine I - Cardiology, University of Hospital Würzburg, Oberdürrbacher Straße 6, 97080 Würzburg, Germany.

Email: [email protected]

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First published: 12 November 2018
Citations: 4

Abstract

Purpose

Cardiac T1 mapping has become an increasingly important imaging technique, contributing novel diagnostic options. However, currently utilized methods are often associated with accuracy problems because of heart rate variations and cardiac arrhythmia, limiting their value in clinical routine. This study aimed to introduce an improved arrhythmia-related robust T1 mapping sequence called RT-TRASSI (real-time Triggered RAdial Single-Shot Inversion recovery).

Methods

All measurements were performed on a 3.0T whole-body imaging system. A real-time feedback algorithm for arrhythmia detection was implemented into the previously described pulse sequence. A programmable motion phantom was constructed and measurements with different simulated arrhythmias arranged. T1 mapping accuracy and susceptibility to artifacts were analyzed. In addition, in vivo measurements and comparisons with 3 prevailing T1 mapping sequences (MOLLI, ShMOLLI, and SASHA) were carried out to investigate the occurrence of artifacts.

Results

In the motion phantom measurements, RT-TRASSI showed excellent agreement with predetermined reference T1 values. Percentage scattering of the T1 values ranged from –0.6% to +1.9% in sinus rhythm and –1.0% to +3.1% for high-grade arrhythmias. In vivo, RT-TRASSI showed diagnostic image quality with only 6% of the acquired T1 maps including image artifacts. In contrast, more than 40% of the T1 maps acquired with MOLLI, ShMOLLI, or SASHA included motion artifacts.

Conclusion

Accuracy issues because of heart rate variability and arrhythmia are a prevailing problem in current cardiac T1 mapping techniques. With RT-TRASSI, artifacts can be minimized because of the short acquisition time and effective real-time feedback, avoiding potential data acquisition during systolic heart phase.

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