Volume 39, Issue 6 pp. 1575-1587
Original Research

High resolution myocardial first-pass perfusion imaging with extended anatomic coverage

Daniel Stäb Dipl, Phys

Corresponding Author

Daniel Stäb Dipl, Phys

Institute of Radiology, University of Würzburg, Würzburg, Germany

Address reprint requests to: D.S., Institute of Radiology, University of Würzburg, Oberdürrbacher Str. 6, 97080 Würzburg, Germany. E-mail: [email protected]Search for more papers by this author
Tobias Wech PhD

Tobias Wech PhD

Institute of Radiology, University of Würzburg, Würzburg, Germany

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Felix A. Breuer PhD

Felix A. Breuer PhD

Research Center Magnetic Resonance Bavaria (MRB), Würzburg, Germany

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Andreas Max Weng PhD

Andreas Max Weng PhD

Institute of Radiology, University of Würzburg, Würzburg, Germany

Comprehensive Heart Failure Center (CHFC), Würzburg, Germany

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Christian Oliver Ritter MD

Christian Oliver Ritter MD

Institute of Radiology, University of Würzburg, Würzburg, Germany

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Dietbert Hahn MD

Dietbert Hahn MD

Institute of Radiology, University of Würzburg, Würzburg, Germany

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Herbert Köstler PhD

Herbert Köstler PhD

Institute of Radiology, University of Würzburg, Würzburg, Germany

Comprehensive Heart Failure Center (CHFC), Würzburg, Germany

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First published: 22 October 2013
Citations: 29

Abstract

Purpose

To evaluate and to compare Parallel Imaging and Compressed Sensing acquisition and reconstruction frameworks based on simultaneous multislice excitation for high resolution contrast-enhanced myocardial first-pass perfusion imaging with extended anatomic coverage.

Materials and Methods

The simultaneous multislice imaging technique MS-CAIPIRINHA facilitates imaging with significantly extended anatomic coverage. For additional resolution improvement, equidistant or random undersampling schemes, associated with corresponding reconstruction frameworks, namely Parallel Imaging and Compressed Sensing can be used. By means of simulations and in vivo measurements, the two approaches were compared in terms of reconstruction accuracy. Comprehensive quality metrics were used, identifying statistical and systematic reconstruction errors.

Results

The quality measures applied allow for an objective comparison of the frameworks. Both approaches provide good reconstruction accuracy. While low to moderate noise enhancement is observed for the Parallel Imaging approach, the Compressed Sensing framework is subject to systematic errors and reconstruction induced spatiotemporal blurring.

Conclusion

Both techniques allow for perfusion measurements with a resolution of 2.0 × 2.0 mm2 and coverage of six slices every heartbeat. Being not affected by systematic deviations, the Parallel Imaging approach is considered to be superior for clinical studies. J. Magn. Reson. Imaging 2014;39:1575–1587. © 2013 Wiley Periodicals, Inc.

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