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Fast carotid artery MR angiography with compressed sensing based three-dimensional time-of-flight sequence.

Authors :
Li, Bo
Li, Hao
Dong, Li
Huang, Guofu
Source :
Magnetic Resonance Imaging (0730725X). Nov2017, Vol. 43, p129-135. 7p.
Publication Year :
2017

Abstract

Objective In this study, we sought to investigate the feasibility of fast carotid artery MR angiography (MRA) by combining three-dimensional time-of-flight (3D TOF) with compressed sensing method (CS-3D TOF). Materials and methods A pseudo-sequential phase encoding order was developed for CS-3D TOF to generate hyper-intense vessel and suppress background tissues in under-sampled 3D k-space. Seven healthy volunteers and one patient with carotid artery stenosis were recruited for this study. Five sequential CS-3D TOF scans were implemented at 1, 2, 3, 4 and 5-fold acceleration factors for carotid artery MRA. Blood signal-to-tissue ratio (BTR) values for fully-sampled and under-sampled acquisitions were calculated and compared in seven subjects. Blood area (BA) was measured and compared between fully sampled acquisition and each under-sampled one. Results There were no significant differences between the fully-sampled dataset and each under-sampled in BTR comparisons ( P > 0.05 for all comparisons). The carotid vessel BAs measured from the images of CS-3D TOF sequences with 2, 3, 4 and 5-fold acceleration scans were all highly correlated with that of the fully-sampled acquisition. The contrast between blood vessels and background tissues of the images at 2 to 5-fold acceleration is comparable to that of fully sampled images. The images at 2 × to 5 × exhibit the comparable lumen definition to the corresponding images at 1 ×. Conclusion By combining the pseudo-sequential phase encoding order, CS reconstruction, and 3D TOF sequence, this technique provides excellent visualizations for carotid vessel and calcifications in a short scan time. It has the potential to be integrated into current multiple blood contrast imaging protocol. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0730725X
Volume :
43
Database :
Academic Search Index
Journal :
Magnetic Resonance Imaging (0730725X)
Publication Type :
Academic Journal
Accession number :
125527107
Full Text :
https://doi.org/10.1016/j.mri.2017.07.017