Abbonarsi

A new compressed sensing cine cardiac MRI sequence with free-breathing real-time acquisition and fully automated motion-correction: A comprehensive evaluation - 29/10/23

Doi : 10.1016/j.diii.2023.06.005 
Benjamin Longère a, b, c, d, , Neelem Abassebay c, Christos Gkizas c, Justin Hennicaux c, Arianna Simeone c, Aimée Rodriguez Musso c, Paul Carpentier c, Augustin Coisne a, b, c, d, Jianing Pang e, Michaela Schmidt f, Solenn Toupin g, David Montaigne a, b, c, d, François Pontana a, b, c, d
a Univ. Lille, U1011–European Genomic Institute for Diabetes (EGID), 59000 Lille, France 
b Inserm, U1011, 59000 Lille, France 
c CHU Lille, Department of Cardiovascular Radiology, 59000 Lille, France 
d Institut Pasteur Lille, 59000 Lille, France 
e MR R&D, Siemens Medical Solutions USA Inc., Chicago, IL 60611, USA 
f MR Product Innovation and Definition, Healthcare Sector, Siemens GmbH, 91052 Erlangen, Germany 
g Scientific Partnerships, Siemens Healthcare France, 93200 Saint-Denis, France 

Corresponding author:

Benvenuto su EM|consulte, il riferimento dei professionisti della salute.
Articolo gratuito.

Si connetta per beneficiarne

Highlights

Motion-corrected compressed sensing cine cardiac MRI acquired during free-breathing is robust to arrhythmia and preserves image quality by averaging multiple real-time acquisitions.
Regardless of the patient's heart rhythm or ability to maintain apnea, motion-corrected compressed sensing cine cardiac MRI improves edge sharpness compared to the reference cine MRI sequence at the same spatial resolution.
With reliable assessment of left and right ventricular functional parameters and preserved image quality, this new sequence overcomes recurring cine cardiac MRI image quality issues, namely arrhythmia and shortness of breath.

Il testo completo di questo articolo è disponibile in PDF.

Abstract

Purpose

The purpose of this study was to compare a new free-breathing compressed sensing cine (FB-CS) cardiac magnetic resonance imaging (CMR) to the standard reference multi-breath-hold segmented cine (BH-SEG) CMR in an unselected population.

Materials and methods

From January to April 2021, 52 consecutive adult patients who underwent both conventional BH-SEG CMR and new FB-CS CMR with fully automated respiratory motion correction were retrospectively enrolled. There were 29 men and 23 women with a mean age of 57.7 ± 18.9 (standard deviation [SD]) years (age range: 19.0–90.0 years) and a mean cardiac rate of 74.6 ± 17.9 (SD) bpm. For each patient, short-axis stacks were acquired with similar parameters providing a spatial resolution of 1.8 × 1.8 × 8.0 mm3 and 25 cardiac frames. Acquisition and reconstruction times, image quality (Likert scale from 1 to 4), left and right ventricular volumes and ejection fractions, left ventricular mass, and global circumferential strain were assessed for each sequence.

Results

FB-CS CMR acquisition time was significantly shorter (123.8 ± 28.4 [SD] s vs. 267.2 ± 39.3 [SD] s for BH-SEG CMR; P < 0.0001) at the penalty of a longer reconstruction time (271.4 ± 68.7 [SD] s vs. 9.9 ± 2.1 [SD] s for BH-SEG CMR; P < 0.0001). In patients without arrhythmia or dyspnea, FB-CS CMR provided subjective image quality that was not different from that of BH-SEG CMR (P = 0.13). FB-CS CMR improved image quality in patients with arrhythmia (n = 18; P = 0.002) or dyspnea (n = 7; P = 0.02), and the edge sharpness was improved at end-systole and end-diastole (P = 0.0001). No differences were observed between the two techniques in ventricular volumes and ejection fractions, left ventricular mass or global circumferential strain in patients in sinus rhythm or with cardiac arrhythmia.

Conclusion

This new FB-CS CMR addresses respiratory motion and arrhythmia-related artifacts without compromising the reliability of ventricular functional assessment.

Il testo completo di questo articolo è disponibile in PDF.

Keywords : Artifacts, Image compression, Image enhancement, Image reconstruction, Magnetic resonance imaging, Cine cardiac MRI

Abbreviation : BH-SEG, CMR, ES, EDV, EF, ESV, EuroCMR, FB-CS, ICC, IQ, LV, LVM, PC-MRI, RV, SD, SV


Mappa


© 2023  Société française de radiologie. Pubblicato da Elsevier Masson SAS. Tutti i diritti riservati.
Aggiungere alla mia biblioteca Togliere dalla mia biblioteca Stampare
Esportazione

    Citazioni Export

  • File

  • Contenuto

Vol 104 - N° 11

P. 538-546 - novembre 2023 Ritorno al numero
Articolo precedente Articolo precedente
  • Co-registration with subtraction and color-coding or fusion improves the detection of new and growing lesions on follow-up MRI examination of patients with multiple sclerosis
  • Akim Adoum, Leila Mazzolo, Augustin Lecler, Jean-Claude Sadik, Julien Savatovsky, Loïc Duron
| Articolo seguente Articolo seguente
  • Coronary artery assessment on pre transcatheter aortic valve implantation computed tomography may avoid the need for additional coronary angiography
  • Adrien Lecomte, Aude Serrand, Lara Marteau, Baptiste Carlier, Thibaut Manigold, Vincent Letocart, Karine Warin Fresse, Jean-Michel Nguyen, Jean-Michel Serfaty

Benvenuto su EM|consulte, il riferimento dei professionisti della salute.

@@150455@@ Voir plus

Il mio account


Dichiarazione CNIL

EM-CONSULTE.COM è registrato presso la CNIL, dichiarazione n. 1286925.

Ai sensi della legge n. 78-17 del 6 gennaio 1978 sull'informatica, sui file e sulle libertà, Lei puo' esercitare i diritti di opposizione (art.26 della legge), di accesso (art.34 a 38 Legge), e di rettifica (art.36 della legge) per i dati che La riguardano. Lei puo' cosi chiedere che siano rettificati, compeltati, chiariti, aggiornati o cancellati i suoi dati personali inesati, incompleti, equivoci, obsoleti o la cui raccolta o di uso o di conservazione sono vietati.
Le informazioni relative ai visitatori del nostro sito, compresa la loro identità, sono confidenziali.
Il responsabile del sito si impegna sull'onore a rispettare le condizioni legali di confidenzialità applicabili in Francia e a non divulgare tali informazioni a terzi.


Tutto il contenuto di questo sito: Copyright © 2026 Elsevier, i suoi licenziatari e contributori. Tutti i diritti sono riservati. Inclusi diritti per estrazione di testo e di dati, addestramento dell’intelligenza artificiale, e tecnologie simili. Per tutto il contenuto ‘open access’ sono applicati i termini della licenza Creative Commons.