Volume 17 Supplement 1

Abstracts of the 18th Annual SCMR Scientific Sessions

Open Access

Initial experience for first pass cardiac perfusion with iterative reconstruction in patients

  • Laura Iacuzio1,
  • Stéphane Rusek1,
  • Solenne Tutenuit1,
  • Michael O Zenge2,
  • Christoph Forman2,
  • Michaela Schmidt2 and
  • Karen Mkhitaryan2
Journal of Cardiovascular Magnetic Resonance201517(Suppl 1):Q109

https://doi.org/10.1186/1532-429X-17-S1-Q109

Published: 3 February 2015

Background

MR stress perfusion is a non-invasive, reliable and safe test for ischemic heart disease [1]. Recent publications reported sensitivity and specificity of 89% and 80% respectively [2]. Image quality improvements seem to be essential for improving the predictive value of the method. This leads to the dilemma of finding a compromise between high spatial resolution and sufficient SNR. Lately iterative reconstruction demonstrated great promise in improving SNR [3]. The aim of the current study was to compare cardiac perfusion in 24 patients reconstructed with product and a novel prototype iterative reconstruction.

Methods

24 patients (mean age 62 ±15) were examined on a 1.5T clinical MR scanner (MAGNETOM Aera, Siemens AG, Erlangen, Germany) using a saturation prepared TFL product sequence with the following parameters: TR/TE=331/1.4ms ; Flip angle = 12°; BW = 668Hz/Px; Voxel size=0.8×0.8×10.0 mm (inplane interpolated); FOV=290mm2; Matrix = 170x192; Slice thickness=10mm; Acceleration=2; Inversion time= 180ms; Phase oversampling=60%; Motion correction.

Pharmacological stress was applied using Adenosine (Adenoscan®, Sanofi-Synthelabo). Gadolinium-based contrast agent (Magnevist, Bayer Schering Pharma) was administered and MRI was performed over 4 slices in short-axis orientation in breath-hold.

Image reconstruction was run twice online at the scanner: 1) with the product image reconstruction and 2) a regularized SENSE-type iterative reconstruction [4] (60 iterations, regularization 0.008). Apparent signal-to-noise ratios (aSNR) [5] were calculated in multiple regions of interest in the left ventricle and myocardium. In addition, normalized semi-quantitative upslope curves were qualitatively compared for both methods.

Results

The quantitative results of aSNR in Figure 1 confirm the overall improvement of the image quality over all patients. Temporal filtering introduced by the regularized reconstruction seems to be negligible as the semi-quantitative upslope curves showed generally good concordance. Figure 2.
Figure 1

aSNR in different tissues (myocardium and left ventricle cavity without (NCA) and with Contrast Agent (CA)). Product vs. iterative reconstruction.

Figure 2

Example of signal uptake in selected ROIs with iterative (WIP) and reference (Prod.) reconstruction.

Conclusions

Iterative image reconstruction shows great image quality improvements over the conventional reconstruction. In the future, SNR improvements can be invested in increasing the spatial resolution which might help to better avoid e.g. the dark rim artifact.

Funding

None.

Authors’ Affiliations

(1)
MR service, Centre Cardio Thoracique Monaco
(2)
Siemens AG

References

  1. Nandalur KR: J Am Coll Cardiol. 2007, 50: 1343-53. 10.1016/j.jacc.2007.06.030.View ArticlePubMedGoogle Scholar
  2. Hamon M: J Cardiovasc Magn Reson. 2010, 12: 29-10.1186/1532-429X-12-29.PubMed CentralView ArticlePubMedGoogle Scholar
  3. Adluru G: MRM. 2007, 57: 1027-36. 10.1002/mrm.21248.View ArticlePubMedGoogle Scholar
  4. Liu J: ISMRM. 2012, 178-Google Scholar
  5. Chung : IEEE CIS. 2004, 365-60.Google Scholar

Copyright

© Iacuzio et al; licensee BioMed Central Ltd. 2015

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/4.0), 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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