Variable density sampling based on physically plausible gradient waveform. Application to 3D MRI angiography

24 Feb 2015  ·  Chauffert Nicolas INRIA Saclay - Ile de France, NEUROSPIN, Weiss Pierre ITAV, Boucher Marianne NEUROSPIN, Mériaux Sébastien NEUROSPIN, CIUCIU Philippe INRIA Saclay - Ile de France, NEUROSPIN ·

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. read more

PDF Abstract
No code implementations yet. Submit your code now


Optimization and Control Medical Physics