Improved late gadolinium enhancement imaging of left ventricle with isotropic spatial resolution
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KeywordsLate Gadolinium Enhancement Hypertrophic Cardiomyopathy Late Gadolinium Enhancement Imaging Infarct Border Zone Isotropic Spatial Resolution
Recent studies have shown the prognostic value of the infarct border zone of late gadolinium enhancement (LGE) images in patients with myocardial infarction . 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  allows LGE imaging with isotropic spatial resolution.
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 , 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 .
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.
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