Variable Density Sampling based on Physically Plausible Gradient Waveform. Application to 3D MRI Angiography

Performing k-space variable density sampling is a popular way of reducing scanning time in Magnetic Resonance Imaging (MRI). Unfortunately, given a sampling trajectory, it is not clear how to traverse it using gradient waveforms. In this paper, we actually show that existing methods [1, 2] can yield...

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Bibliographic Details
Published in2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI) pp. 1470 - 1473
Main Authors Chauffer, Nicolas, Weiss, Pierre, Boucher, Marianne, Meriaux, Sebastien, Ciuciu, Philippe
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2015
Subjects
angiography
Compressive sensing
gradient waveform design
hardware constraints
Image reconstruction
Magnetic resonance imaging
MRI
Optimal control
Projection algorithms
Spirals
Three-dimensional displays
Trajectory
Variable density sampling
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Summary:Performing k-space variable density sampling is a popular way of reducing scanning time in Magnetic Resonance Imaging (MRI). Unfortunately, given a sampling trajectory, it is not clear how to traverse it using gradient waveforms. In this paper, we actually show that existing methods [1, 2] can yield large traversal time if the trajectory contains high curvature areas. Therefore, we consider here a new method for gradient waveform design which is based on the projection of unrealistic initial trajectory onto the set of hardware constraints. Next, we show on realistic simulations that this algorithm allows implementing variable density trajectories resulting from the piecewise linear solution of the Travelling Salesman Problem in a reasonable time. Finally, we demonstrate the application of this approach to 2D MRI reconstruction and 3D angiography in the mouse brain.
ISSN:1945-7928
1945-8452
DOI:10.1109/ISBI.2015.7164154