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Motion correction of multi-contrast images applied to T1 and T2 quantification in cardiac MRI

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Magnetic Resonance Materials in Physics, Biology and Medicine Aims and scope Submit manuscript

Abstract

Object

The ability to manipulate image contrast and thus to obtain complementary information is one of the main advantages of MRI. Motion consistency within the whole data set is a key point in the context of multi contrast imaging. In cardiac and abdominal MRI, the acquisition strategy uses multiple breath-holds and often relies on acceleration methods that inherently suffer from a signal-to-noise ratio loss. The aim of this work is to propose a free-breathing multi-contrast acquisition and reconstruction workflow to improve image quality and the subsequent data analysis.

Materials and methods

We extended a previously proposed motion-compensated image reconstruction method for multi-contrast imaging. Shared information throughout the imaging protocol is now exploited by the image reconstruction in the form of an additional constraint based on image gradient sparsity. This constraint helps to minimize the amount of data needed for efficient non-rigid motion correction. T1 and T2 weighted images were reconstructed from free-breathing acquisitions in 4 healthy volunteers and in a phantom. The impact of multi-contrast motion correction was evaluated in a phantom in terms of precision and accuracy of T1 and T2 quantification.

Results

In the phantom, the proposed method achieved an accuracy of 97.5 % on the quantified parameters against 88.0 % before motion correction. In volunteers, motion inconsistency in T1 and T2 quantification were noticeably reduced within 5 min of free-breathing acquisition.

Conclusion

An efficient, free-breathing, multi-contrast imaging method has been demonstrated that does not require prior assumptions about contrast and that is applicable to a wide range of examinations.

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Abbreviations

BH:

Breath-hold

FB:

Free-breathing

GRICS:

Generalized reconstruction by inversion of a coupled system

MC-GRICS:

Multi-contrast GRICS

FSE:

Fast spin echo (pulse sequence)

ME-FSE:

Multi-echo FSE (pulse sequence)

SMART1Map:

Saturation method using adaptive recovery times for T1 mapping (pulse sequence)

TEeff :

Effective echo time

ESP:

Echo spacing

ETL:

Echo train length

TI:

Inversion time

TD:

Trigger delay

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Acknowledgments

The authors would like to thank Marine Beaumont for her helpful discussions about T1 mapping and Jonathan Sperl for his comments on sparse constraint for multi-contrast imaging. The Lorraine region and the European Regional Development Fund are acknowledged for co-funding the system.

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Authors and Affiliations

  1. IADI, Université de Lorraine, Nancy, France

    Anne Menini, Pauline Ferry, Jacques Felblinger & Freddy Odille

  2. GE Healthcare, Bethesda, MD, USA

    Glenn S. Slavin

  3. GE Healthcare, Toronto, ON, Canada

    Jeffrey A. Stainsby

  4. U947, INSERM, Nancy, France

    Jacques Felblinger & Freddy Odille

Authors
  1. Anne Menini
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  2. Glenn S. Slavin
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  3. Jeffrey A. Stainsby
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  4. Pauline Ferry
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  5. Jacques Felblinger
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  6. Freddy Odille
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Corresponding author

Correspondence to Freddy Odille.

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Menini, A., Slavin, G.S., Stainsby, J.A. et al. Motion correction of multi-contrast images applied to T1 and T2 quantification in cardiac MRI. Magn Reson Mater Phy 28, 1–12 (2015). https://doi.org/10.1007/s10334-014-0440-9

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  • DOI: https://doi.org/10.1007/s10334-014-0440-9

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