European Radiology

, Volume 30, Issue 1, pp 609–619 | Cite as

Compressed sensing real-time cine imaging for assessment of ventricular function, volumes and mass in clinical practice

  • Mathilde Vermersch
  • Benjamin Longère
  • Augustin Coisne
  • Michaela Schmidt
  • Christoph Forman
  • Aurélien Monnet
  • Julien Pagniez
  • Valentina Silvestri
  • Arianna Simeone
  • Emma Cheasty
  • David Montaigne
  • François PontanaEmail author



This study was conducted in order to evaluate the accuracy of a compressed sensing (CS) real-time single-breath-hold cine sequence for the assessment of left and right ventricular functional parameters in daily practice.


Cardiac magnetic resonance (CMR) cine images were acquired from 100 consecutive patients using both the reference segmented multi-breath-hold steady-state free precession (SSFP) acquisition and a prototype single-breath-hold real-time CS sequence, providing the same slice number, position, and thickness. For both sequences, the left (LV) and right ventricular (RV) ejection fractions (EF) and end-diastolic volumes (EDV) were assessed as well as LV mass (LVM). The visualization of wall-motion disorders (WMD) and signal void related to mitral or tricuspid regurgitation was also analyzed.


The CS sequence mean scan time was 23 ± 6 versus 510 ± 109 s for the multi-breath-hold SSFP sequence (p < 0.001). There was an excellent correlation between the two sequences regarding mean LVEF (r = 0.995), LVEDV (r = 0.997), LVM (r = 0.981), RVEF (r = 0.979), and RVEDV (r = 0.983). Moreover, inter- and intraobserver agreements were very strong with intraclass correlations of 0.96 and 0.99, respectively. On CS images, mitral or tricuspid regurgitation visualization was good (AUC = 0.85 and 0.81, respectively; ROC curve analysis) and wall-motion disorder visualization was excellent (AUC ≥ 0.97).


CS real-time single-breath-hold cine imaging reduces CMR scan duration by almost 20 times in daily practice while providing reliable measurements of both left and right ventricles. There was no clinically relevant information loss regarding valve regurgitation and wall-motion disorder depiction.

Key Points

• Compressed sensing single-breath-hold real-time cine imaging is a reliable sequence in daily practice.

• Fast CS real-time imaging reduces CMR scan time and improves patient workflow.

• There is no clinically relevant information loss with CS regarding heart valve regurgitation or wall-motion disorders.


Heart ventricles Magnetic resonance imaging Breath holding 



Arythmogenic right ventricular cardiomyopathy


Cardiac magnetic resonance


Compressed sensing




End-diastolic volume


Ejection fraction


Graphic processing unit


Left ventricle/left ventricular EF/left ventricular EDV


Left ventricular mass


Right ventricle/right ventricular EF/right ventricular EDV


Standard deviation


Balanced steady-state free precession


Wall-motion disorders



The authors state that this work has not received any funding.

Compliance with ethical standards


The scientific guarantor of this publication is Francois Pontana.

Conflict of interest

The authors of this manuscript declare relationships with the following companies: Mathilde Vermersch, Benjamin Longère, Augustin Coisne, Julien Pagniez, Valentina Silvestri, Arianna Simeone, Emma Cheasty, David Montaigne, and François Pontana have no competing interest. They are employed by an institution engaged in contractual collaboration with Siemens Healthcare. Michaela Schmidt, Christoph Forman, and Aurelien Monnet are employees of Siemens Healthcare GmbH.

Statistics and biometry

One of the authors has significant statistical expertise.

Informed consent

Written informed consent was obtained from all patients in this study.

Ethical approval

Institutional Review Board approval was obtained.


• prospective

• cross-sectional study

• performed at one institution

Supplementary material

330_2019_6341_MOESM1_ESM.docx (40.6 mb)
ESM 1 (DOCX 41619 kb)


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Copyright information

© European Society of Radiology 2019

Authors and Affiliations

  • Mathilde Vermersch
    • 1
  • Benjamin Longère
    • 1
  • Augustin Coisne
    • 2
    • 3
  • Michaela Schmidt
    • 4
  • Christoph Forman
    • 4
  • Aurélien Monnet
    • 4
  • Julien Pagniez
    • 1
  • Valentina Silvestri
    • 1
  • Arianna Simeone
    • 1
  • Emma Cheasty
    • 5
  • David Montaigne
    • 2
    • 3
  • François Pontana
    • 1
    • 3
    Email author
  1. 1.Department of Cardiovascular Radiology, Institut Cœur-PoumonCHU LilleLille CedexFrance
  2. 2.Department of Clinical Physiology and EchocardiographyCHU LilleLilleFrance
  3. 3.INSERM UMR 1011; Institut Pasteur de Lille; EGID (European Genomic Institute for Diabetes), FR3508; Univ LilleLilleFrance
  4. 4.Siemens Healthcare GmbHErlangenGermany
  5. 5.Department of Cardiovascular ImagingSt Bartholomew’s HospitalLondonUK

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