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  • Workshop presentation
  • Open Access

Clinical evaluation of accelerated cardiac cine imaging using iterative k-t-sparse SENSE

  • 1,
  • 1,
  • 2,
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Journal of Cardiovascular Magnetic Resonance201416 (Suppl 1) :W13

https://doi.org/10.1186/1532-429X-16-S1-W13

  • Published:

Keywords

  • Left Ventricle
  • Diagnostic Image Quality
  • Left Ventricle Ejection Fraction
  • Entire Left Ventricle
  • Accel Factor

Background

We sought to quantitatively and qualitatively evaluate a clinical implementation of accelerated MR acquisitions using iterative segmented k-t-sparse Cartesian SENSE balanced steady-state free-precession (SSFP) cinegraphic imaging.

Methods

IRB approval was obtained. Twenty patients (age: 54.8 ± 14 years, M:F = 15:5) undergoing non-emergent CMR assessment for myocardial pathology were consecutively recruited. Nine healthy volunteers (age: 44.3 ± 14 years, M:F = 6:3) were also imaged. CMR was performed at 1.5T (MAGNETOM Aera, Siemens Healthcare, Erlangen, Germany). The examination included acquisition of standard segmented SSFP (iPAT2) (GRAPPA accel factor 2, TR 40 msec, 2.1 × 2.1 × 10 mm3) cine and two accelerated segmented SSFP acquisitions (TPAT accel factor 4, TR 37.7 msec, 2.1 × 2.1 × 6 mm3), one with an investigational prototype inline iterative k-t-sparse SENSE reconstruction with L1 regularization along one spatial and temporal dimension (TPAT4i) (1)and the other with conventional SENSE reconstruction (TPAT4). Each technique was used to acquire a three- (3Ch), four-chamber (4Ch), and short axis (SA) series in identical slice positions (Figure 1), with SA coverage of the entire left ventricle (LV) with 10 mm interslice gaps. Individual slice scan times were recorded. Quantitative LV functional analysis was performed. A reviewer blinded to acquisition type scored images for overall image quality, noise, and artifacts using a 5-point Likert scale. Continuous variables were compared between groups using a paired t-test, and ordinal variables were compared using a Wilcoxon signed-rank test.
Figure 1
Figure 1

Example A) three-chamber, B) four-chamber, and C) mid-chamber short axis images in a patient undergoing CMR for aortic valve assessment using each acquisition technique.

Results

In a combined analysis of patients and volunteers, there was no significant difference between LV ejection fraction between iPAT2 and TPAT4i (p = 0.48) or TPAT4 (p = 0.34). The iPAT2 technique found marginally lower end-diastolic volume (159 ± 54 ml vs. 169 ± 54 ml, p = 0.01), end-systolic volume (75 ± 33 ml vs. 80 ± 31 ml, p = 0.04), stroke volume (80 ± 35 ml vs. 89 ± 31 ml, p = 0.03) compared to TPAT4i. Single-slice scan times in both TPAT4i(3.29 ± 0.6 sec) and TPAT4 (3.0 ± 0.6 sec) acquisitions were significantly shorter relative to iPAT2 (8.4 ± 1.7 sec, p < 0.001 for both). Qualitative review showed significantly higher image quality and lower noise using both iPAT2 and TPAT4i acquisitions relative to TPAT4 (quality: p < 0.001, noise: p < 0.001). The iPAT2 acquisition was scored higher than TPAT4i in quality (4.8 ± 0.4 vs. 4.6 ± 0.6, p = 0.005), noise (4.9 ± 0.3 vs. 4.6 ± 0.6, p < 0.001), and artifact (4.8 ± 0.4 vs. 4.6 ± 0.6, p = 0.04), although the magnitude of difference is relatively small. (Figure 2)
Figure 2
Figure 2

Qualitative scoring in the combined cohort of patients and volunteers.

Conclusions

Acceleration using iterative k-t-sparse SENSE techniques can be successfully applied in CMR to reduce scan times by > 50% while maintaining diagnostic image quality and quantitative accuracy in LV systolic function assessment.

Authors’ Affiliations

(1)
Radiology, Northwestern University, Chicago, Illinois, USA
(2)
Siemens AG Healthcare Sector, Erlangen, Germany
(3)
Siemens Corporate Technology, Princeton, New Jersey, USA
(4)
Siemens Healthcare USA, Inc., Chicago, Illinois, USA

References

  1. Liu J, et al: ISMRM 20th Annual Meeting. 2012, Melbourne, Australia, 4249-Google Scholar

Copyright

© Allen et al.; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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