Quantitative comparisons between relaxation enhanced compressed sensing 3D MERGE and conventional 3D MERGE for vessel wall imaging in equal scan time: preliminary studies

In this study, we quantitatively compared relaxation enhanced compressed sensing (RECS-3D MERGE) with conventional 3D MERGE techniques on blood suppression efficiency, wall-lumen contrast and plaque burden measurement for carotid atherosclerotic imaging in equal scan time. Twelve patients were recruited in the study. RECS-3D MERGE and conventional 3D MERGE were implemented. 2D DIR-FSE was carried out as a reference standard. The lumen signal-to-tissue ratio (STR) was used as the quantitative measure of blood suppression efficiency. The contrast-to-tissue ratio (CTR) was used as the quantitative measure of wall-lumen contrast. Vessel lumen area (LA) and wall area (WA) were measured for morphological comparisons. The lumen STR of RECS-3D MERGE was significantly lower than that of 3D MERGE while the wall-lumen CTR of RECS-3D MERGE was significantly higher. There were no significant differences in plaque burden measurements between RECS-3D MERGE and 2D DIR-FSE. For comparison between conventional 3D MERGE and 2D DIR-FSE, there were no significant differences in LA measurement. However, the WA of 3D MERGE was significantly larger. The RECS-3D MERGE sequence achieved more sufficient blood suppression and higher image contrast without prolonging the scan time. These improvements lead to more accurate morphological measurements of carotid atherosclerotic imaging.

[1]  Valentin Fuster,et al.  Imaging of atherosclerosis: magnetic resonance imaging. , 2011, European heart journal.

[2]  Chun Yuan,et al.  Carotid plaque assessment using fast 3D isotropic resolution black‐blood MRI , 2011, Magnetic resonance in medicine.

[3]  D. Mozaffarian,et al.  Executive summary: heart disease and stroke statistics--2012 update: a report from the American Heart Association. , 2012, Circulation.

[4]  Emmanuel J. Candès,et al.  Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.

[5]  Bin Chen,et al.  Turbo fast three‐dimensional carotid artery black‐blood MRI by combining three‐dimensional MERGE sequence with compressed sensing , 2013, Magnetic resonance in medicine.

[6]  E. Candès,et al.  Stable signal recovery from incomplete and inaccurate measurements , 2005, math/0503066.

[7]  Xiaoying Wang,et al.  Relaxation enhanced compressed sensing three-dimensional black-blood vessel wall MR imaging: Preliminary studies. , 2015, Magnetic resonance imaging.

[8]  Debiao Li,et al.  Diffusion-prepared segmented steady-state free precession: Application to 3D black-blood cardiovascular magnetic resonance of the thoracic aorta and carotid artery walls. , 2007, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[9]  Chun Yuan,et al.  Comparison between 2D and 3D high‐resolution black‐blood techniques for carotid artery wall imaging in clinically significant atherosclerosis , 2008, Journal of magnetic resonance imaging : JMRI.

[10]  Jue Zhang,et al.  Compressed sensing based simultaneous black- and gray-blood carotid vessel wall MR imaging. , 2017, Magnetic resonance imaging.

[11]  Peter Boesiger,et al.  Compressed sensing in dynamic MRI , 2008, Magnetic resonance in medicine.

[12]  James Demmel,et al.  Fast $\ell_1$ -SPIRiT Compressed Sensing Parallel Imaging MRI: Scalable Parallel Implementation and Clinically Feasible Runtime , 2012, IEEE Transactions on Medical Imaging.

[13]  Xiaohong Joe Zhou,et al.  Magnetic resonance imaging in personalized medicine , 2017, Science China Life Sciences.

[14]  Chun Yuan,et al.  Improved suppression of plaque‐mimicking artifacts in black‐blood carotid atherosclerosis imaging using a multislice motion‐sensitized driven‐equilibrium (MSDE) turbo spin‐echo (TSE) sequence , 2007, Magnetic resonance in medicine.

[15]  Chun Yuan,et al.  T1‐insensitive flow suppression using quadruple inversion‐recovery , 2002, Magnetic resonance in medicine.

[16]  David L Donoho,et al.  Compressed sensing , 2006, IEEE Transactions on Information Theory.

[17]  D. Donoho,et al.  Sparse MRI: The application of compressed sensing for rapid MR imaging , 2007, Magnetic resonance in medicine.

[18]  K. T. Block,et al.  Undersampled radial MRI with multiple coils. Iterative image reconstruction using a total variation constraint , 2007, Magnetic resonance in medicine.

[19]  Xiaoying Wang,et al.  Relationship between Framingham risk score and subclinical atherosclerosis in carotid plaques: an in vivo study using multi-contrast MRI , 2017, Science China Life Sciences.

[20]  Debiao Li,et al.  Carotid arterial wall MRI at 3T using 3D variable‐flip‐angle turbo spin‐echo (TSE) with flow‐sensitive dephasing (FSD) , 2010, Journal of magnetic resonance imaging : JMRI.

[21]  D A Steinman,et al.  On the nature and reduction of plaque‐mimicking flow artifacts in black blood MRI of the carotid bifurcation , 1998, Magnetic resonance in medicine.