Improved late gadolinium enhancement imaging of left ventricle with isotropic spatial resolution

  • Mehmet Akcakaya
  • Hussein Rayatzadeh
  • Susie Hong
  • Thomas H Hauser
  • Raymond H Chan
  • Tamer A Basha
  • Kraig V Kissinger
  • Beth Goddu
  • Warren J Manning
  • Reza Nezafat
Open Access
Oral presentation
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Keywords

Late Gadolinium Enhancement Hypertrophic Cardiomyopathy Late Gadolinium Enhancement Imaging Infarct Border Zone Isotropic Spatial Resolution 

Background

Recent studies have shown the prognostic value of the infarct border zone of late gadolinium enhancement (LGE) images in patients with myocardial infarction [1]. This border zone has also been associated with ventricular arrhythmia [2, 3]. The accuracy of the characterization of this area depends on spatial resolution of the imaging. 3D LGE allows improved spatial resolution, especially in through-plane direction. However imaging with an isotropic spatial resolution necessitates very long scan time. In this study, we sought to investigate if compressed-sensing (CS) based image acceleration method [4] allows LGE imaging with isotropic spatial resolution.

Methods

A prospective random under-sampling LGE acquisition was implemented on 1.5T Philips scanner. A free-breathing ECG-triggered inversion-recovery GRE sequence with navigator-gating was used for all acquisitions on 18 patients (5 females, 52.8±16.3 years) 10 to 20 minutes after bolus infusion of contrast agent. Each subject were imaged using two LGE sequence in random order: a) a 3-fold-accelerated LGE scan with isotropic spatial resolution of 1.2-to-1.7 mm3, b) LGE scan with non-isotropic resolution of 1.7×1.7×4.0mm3 were performed with imaging parameters of TR/TE/α=5.2/2.6ms/25°, FOV=320×320×100mm3. Random undersampling was implemented as described in [5], where the central k-space (45×35 in ky-kz) was fully-sampled. Acquisition times were 3 mins assuming 100% scan efficiency at 70 bpm for both scans. The images from the accelerated scans were reconstructed using an advanced CS-technique, called LOST [4].

Results

Figure 1 shows LGE images from a patient with hypertrophic cardiomyopathy acquired using two different approaches. An improved isotropic spatial resolution allows better characterization of the scar morphology. Figure 2 shows another example in a patient undergoing ICD implantation as a primary prevention of sudden cardiac death.
Figure 1

Reformatted LGE images from a patient with HCM, acquired using non-isotropic spatial resolution (top), and isotropic spatial resolution (bottom). An isotropic resolution allows better visualization of scar morphology in images acquired using LOST-accelerated acquisition.

Figure 2

Axial (left) and reformatted long-axis (right) LGE images from a patient. Non-isotropic LGE was acquired with a spatial resolution 1.7×1.7×4.0 mm3 (top), whereas LOST-reconstructed isotropic resolution images from the accelerated scan had a resolution of 1.2×1.2×1.2 mm3 (bottom).

Conclusions

Accelerated LGE imaging with isotropic spatial resolution allows improved visualization of scar morphology. Further quantitative measurements of infarct border zones in a larger cohort of patients are needed to better understand the prognostic value of the improved scar imaging.

Funding

NIH R01EB008743-01A2.

References

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    Yan : Circulation. 2006Google Scholar
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    Bello : JACC. 2005Google Scholar
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    Nazarian : Circulation. 2005Google Scholar
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    Akcakaya : MRM. 2011Google Scholar
  5. 5.
    Basha : ISMRM. 2011Google Scholar

Copyright information

© Akcakaya et al; licensee BioMed Central Ltd. 2012

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.

Authors and Affiliations

  • Mehmet Akcakaya
    • 1
  • Hussein Rayatzadeh
    • 1
  • Susie Hong
    • 1
  • Thomas H Hauser
    • 1
  • Raymond H Chan
    • 1
  • Tamer A Basha
    • 1
  • Kraig V Kissinger
    • 1
  • Beth Goddu
    • 1
  • Warren J Manning
    • 1
    • 2
  • Reza Nezafat
    • 1
  1. 1.Medicine, Beth Israel Deaconess Medical CenterHarvard Medical SchoolBostonUSA
  2. 2.Radiology, Beth Israel Deaconess Medical CenterHarvard Medical SchoolBostonUSA

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