Journal Article

Motion-corrected 3D whole-heart water-fat high-resolution late gadolinium enhancement cardiovascular magnetic resonance imaging

Botnar, René M., Hajhosseiny, Reza, Neji, Radhouene, Masci, Pier-Giorgio, Prieto, Claudia, Bustin, Aurelien, Munoz, Camila, Kunze, Karl P., Zeilinger, Martin, Forman, Christoph, Schmidt, Michaela, Wuest, Wolfgang

2020

Overview

Background Conventional 2D inversion recovery (IR) and phase sensitive inversion recovery (PSIR) late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) have been widely incorporated into routine CMR for the assessment of myocardial viability. However, reliable suppression of fat signal, and increased isotropic spatial resolution and volumetric coverage within a clinically feasible scan time remain a challenge. In order to address these challenges, this work proposes a highly efficient respiratory motion-corrected 3D whole-heart water/fat LGE imaging framework. Methods An accelerated IR-prepared 3D dual-echo acquisition and motion-corrected reconstruction framework for whole-heart water/fat LGE imaging was developed. The acquisition sequence includes 2D image navigators (iNAV), which are used to track the respiratory motion of the heart and enable 100% scan efficiency. Non-rigid motion information estimated from the 2D iNAVs and from the data itself is integrated into a high-dimensional patch-based undersampled reconstruction technique (HD-PROST), to produce high-resolution water/fat 3D LGE images. A cohort of 20 patients with known or suspected cardiovascular disease was scanned with the proposed 3D water/fat LGE approach. 3D water LGE images were compared to conventional breath-held 2D LGE images (2-chamber, 4-chamber and stack of short-axis views) in terms of image quality (1: full diagnostic to 4: non-diagnostic) and presence of LGE findings. Results Image quality was considered diagnostic in 18/20 datasets for both 2D and 3D LGE magnitude images, with comparable image quality scores (2D: 2.05 ± 0.72, 3D: 1.88 ± 0.90, p -value = 0.62) and overall agreement in LGE findings. Acquisition time for isotropic high-resolution (1.3mm 3 ) water/fat LGE images was 8.0 ± 1.4 min (3-fold acceleration, 60–88 slices covering the whole heart), while 2D LGE images were acquired in 5.6 ± 2.2 min (12–18 slices, including pauses between breath-holds) albeit with a lower spatial resolution (1.40–1.75 mm in-plane × 8 mm slice thickness). Conclusion A novel framework for motion-corrected whole-heart 3D water/fat LGE imaging has been introduced. The method was validated in patients with known or suspected cardiovascular disease, showing good agreement with conventional breath-held 2D LGE imaging, but offering higher spatial resolution, improved volumetric coverage and good image quality from a free-breathing acquisition with 100% scan efficiency and predictable scan time.

• Publisher: BioMed Central,BioMed Central Ltd,Elsevier
• Subject: 3D whole-heart / Accelerated imaging / Adipose Tissue - diagnostic imaging / Adipose Tissue - physiopathology / Adiposity / Adult / Aged / Angiology / Body Water - chemistry / Breath Holding / Cardiac-Gated Imaging Techniques / Cardiology / Cardiovascular disease / Cardiovascular diseases / Cardiovascular Diseases - diagnostic imaging / Cardiovascular Diseases - physiopathology / Contrast Media - administration & dosage / Diagnostic systems / Efficiency / Electrocardiography / Female / Gadolinium / Heart / Heart - diagnostic imaging / Heart - physiopathology / High resolution / Humans / Image acquisition / Image quality / Image reconstruction / Imaging / Imaging, Three-Dimensional / Late gadolinium enhancement / Magnetic Resonance Imaging / Male / Medical imaging / Medicine / Medicine & Public Health / Middle Aged / Motion-correction / Navigators / Organometallic Compounds - administration & dosage / Predictive Value of Tests / Radiology / Rare earth metal compounds / Recovery / Reproducibility of Results / Spatial discrimination / Spatial resolution / Technical Notes / Three dimensional motion / Water/fat cardiovascular magnetic resonance imaging