- Poster presentation
- Open Access
Motion Corrected 3D Whole-Heart Vessel Wall Imaging
© Lima da Cruz et al. 2016
- Published: 27 January 2016
- Vessel Wall
- Respiratory Motion
- Motion Correction
- Coronal Slice
- Translation Correction
Coronary atherosclerosis is not necessarily stenotic, due to outward remodeling of the vessel wall. Plaque burden correlates with risk of coronary disease (Kubo et al, J Am Coll Cardiol 2007) and direct visualization is desired. A 3D flow independent approach for vessel wall imaging was proposed recently (Andia et al, MRM 2013), based on subtraction of data with (T2prep(+)) and without (T2prep(-)) a T2-preparation prepulse. However, T2prep(+) and T2prep(-) data are only accepted when both are within the acquisition window given by the diaphragmatic navigator, leading to increased scan times. Here, we propose to accelerate the acquisition by performing respiratory motion correction on T2prep(-) and T2prep(+) with 100% scan efficiency. This is achieved with a beat-to-beat translational correction combined with a bin-to-bin non-rigid correction.
Eight healthy volunteers were scanned under free-breathing on a 1.5T Philips scanner using a 32-channel coil. Image data was acquired with an ECG-triggered 3D balanced SSFP: coronal slices, flip angle = 70°, TR/TE = 4.6/2.3 ms, FOV = 300 × 300 × 100 mm3, resolution = 1 × 1 × 2 mm3. iNAV data was acquired with a 2D Golden radial spoiled gradient echo: coronal slice, flip angle = 5°, TR/TE = 2.4/1.1 ms, FOV = 300 × 300 mm2, resolution = 4 × 4 mm2. Data was reconstructed with no motion correction (NMC), 2D beat-to-beat translation correction (TC) only and with the proposed approach (TC+GMD).
Good quality vessel wall imaging is achieved with the proposed approach with 100% scan efficiency. The proposed motion correction shows visible improvements over translational correction only, leading to a better delineation of the coronary vessel wall. Future work will focus on additional acceleration using compressed sensing.
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.