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Abstract #1640

An investigation into the optimal undersampling parameters for 3D TOF MRA at 7T using compressed sensing reconstruction

Matthijs de Buck 1, Peter Jezzard1, and Aaron Hess2
1Wellcome Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2Oxford Centre for Clinical Magnetic Resonance Research, Department of Cardiovascular Medicine, University of Oxford, Oxford, United Kingdom

3D TOF-MRA at 7T can be greatly accelerated using compressed sensing reconstruction of undersampled acquisitions, but the achieved reconstruction quality depends on the undersampling pattern. In this work, optimal parameters for variable-density Poisson disk undersampling were established. For all acceleration factors, optimal reconstructions were achieved by using small fully-sampled calibration areas of 12x12 lines and a polynomial order of around 2. The optimal undersampling parameters were the same for all acceleration factors, but the importance of using optimized undersampling parameters was found to increase for higher acceleration factors.

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