Volume 16 Supplement 1
Super-resolution reconstruction of late gadolinium enhanced MRI from multiple views
© Tao et al.; licensee BioMed Central Ltd. 2014
Published: 16 January 2014
Image resolution is a crucial factor for myocardial scar quantification from late gadolinium enhanced (LGE) MR. The conventional usage of anisotropic short-axis LGE volumes may result in overestimation of the scar size, in particular at the gray zone, due to partial volume effect (PVE). This may impact the diagnostic accuracy of LGE in clinical applications.
A group of 37 post-infarction patients with ventricular tachycardia (VT), who underwent both MRI and a VT catheter ablation procedure with electro-anatomical voltage mapping (EAVM), were included. LGE imaging was performed using a 3D breath-hold inversion recovery turbo-field echo sequence with full ventricular coverage in three views: short-axis (SA), two-chamber, and four-chamber. The three LGE sequences were combined as follows: 1) The inter-scan heart motion was compensated by a joint localized gradient-correlation-based volume registration scheme; 2) The registered volumes were combined into an isotropic volume by the super-resolution reconstruction (SRR) technique. The SRR reconstructed volumes were compared to conventional SA volume using the following measures: the full-width-half-maxima (FWHM)-identified myocardial scar size in terms of core zone and gray zone; the agreement between the scar zones and the gold-standard EAVM data. The agreement was evaluated by the voltage distribution of the mapping points which were back projected onto the normal myocardium, scar core zone and gray zone.
We proposed a method to reconstruct a high-resolution isotropic LGE MR volume from three routinely acquired anisotropic views. Improving the through-plane resolution of LGE leads to more accurate myocardial scar assessment with reduced PVE, especially at the clinically significant gray zone.
The work was financially supported by the Dutch Technology Foundation (STW) and EU ITEA2-09039.
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.