» Articles » PMID: 25129517

Compressed Sensing Single-breath-hold CMR for Fast Quantification of LV Function, Volumes, and Mass

Overview
Publisher Elsevier
Date 2014 Aug 18
PMID 25129517
Citations 72
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: The purpose of this study was to compare a novel compressed sensing (CS)-based single-breath-hold multislice magnetic resonance cine technique with the standard multi-breath-hold technique for the assessment of left ventricular (LV) volumes and function.

Background: Cardiac magnetic resonance is generally accepted as the gold standard for LV volume and function assessment. LV function is 1 of the most important cardiac parameters for diagnosis and the monitoring of treatment effects. Recently, CS techniques have emerged as a means to accelerate data acquisition.

Methods: The prototype CS cine sequence acquires 3 long-axis and 4 short-axis cine loops in 1 single breath-hold (temporal/spatial resolution: 30 ms/1.5 × 1.5 mm(2); acceleration factor 11.0) to measure left ventricular ejection fraction (LVEF(CS)) as well as LV volumes and LV mass using LV model-based 4D software. For comparison, a conventional stack of multi-breath-hold cine images was acquired (temporal/spatial resolution 40 ms/1.2 × 1.6 mm(2)). As a reference for the left ventricular stroke volume (LVSV), aortic flow was measured by phase-contrast acquisition.

Results: In 94% of the 33 participants (12 volunteers: mean age 33 ± 7 years; 21 patients: mean age 63 ± 13 years with different LV pathologies), the image quality of the CS acquisitions was excellent. LVEF(CS) and LVEF(standard) were similar (48.5 ± 15.9% vs. 49.8 ± 15.8%; p = 0.11; r = 0.96; slope 0.97; p < 0.00001). Agreement of LVSV(CS) with aortic flow was superior to that of LVSV(standard) (overestimation vs. aortic flow: 5.6 ± 6.5 ml vs. 16.2 ± 11.7 ml, respectively; p = 0.012) with less variability (r = 0.91; p < 0.00001 for the CS technique vs. r = 0.71; p < 0.01 for the standard technique). The intraobserver and interobserver agreement for all CS parameters was good (slopes 0.93 to 1.06; r = 0.90 to 0.99).

Conclusions: The results demonstrated the feasibility of applying the CS strategy to evaluate LV function and volumes with high accuracy in patients. The single-breath-hold CS strategy has the potential to replace the multi-breath-hold standard cardiac magnetic resonance technique.

Citing Articles

Retrospective temporal resolution interpolation alters myocardial strain quantification on compressed sensing cine CMR.

Grob L, Schwerzmann Y, Kaiser D, Jung B, Schweizer T, Huettenmoser S Int J Cardiovasc Imaging. 2025; 41(3):591-602.

PMID: 39953315 PMC: 11880142. DOI: 10.1007/s10554-025-03348-3.


Cardiac compressed sensing real-time cine for the assessment of left ventricular function: a large sample size analysis.

Wang Z, Wang Z, An J, Yuan Y, Pang J, He Y Quant Imaging Med Surg. 2024; 14(12):8785-8797.

PMID: 39698697 PMC: 11652050. DOI: 10.21037/qims-24-980.


High on sparsity: Interbin compensation of cardiac motion for improved assessment of left-ventricular function using 5D whole-heart MRI.

Yerly J, Roy C, Milani B, Eyre K, Raifee M, Stuber M Magn Reson Med. 2024; 93(3):975-992.

PMID: 39385350 PMC: 11680726. DOI: 10.1002/mrm.30323.


Accelerated cardiac magnetic resonance imaging using deep learning for volumetric assessment in children.

Koechli M, Callaghan F, Burkhardt B, Lohezic M, Zhu X, Rucker B Pediatr Radiol. 2024; 54(10):1674-1685.

PMID: 39017676 PMC: 11377620. DOI: 10.1007/s00247-024-05978-6.


Pulse wave signal-driven machine learning for identifying left ventricular enlargement in heart failure patients.

Wu D, Ono R, Wang S, Kobayashi Y, Sughimoto K, Liu H Biomed Eng Online. 2024; 23(1):60.

PMID: 38909231 PMC: 11193305. DOI: 10.1186/s12938-024-01257-5.