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Abstract #3825

Accelerated MRI Through Aliased and Sub-Sampled K-Space Acquisitions

Arjun Arunachalam1

1Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India

A method for restoring aliased, sub-sampled k-space for a multiplicative increase in scan acceleration is presented. Recently, the RATE method for accelerating dynamic MRI by acquiring and then restoring aliased k-space through a Fourier transformation was presented. In this work, its shown that for normal and dynamic MRI, receiver sensitivities can be used to restore aliased k-space. Also, if aliased k-space is sub-sampled, Parallel Imaging is used first to synthesize the un-acquired samples. Next, the coil sensitivities are used again with the acquired, synthesized samples in an iterative reconstruction to enable acceleration factors as high as 12 for 2D scans.

Keywords

accelerated accelerating acceleration accordingly achieve acquisitions addition alias aliased aliasing amplitudes artifact artifacts axis block blocks bound brain built cardiac channel chosen coil computer conditioned conference consisted constraint contains dataset decimated denotes depends derived desired determine dimension directly displayed dynamic efficiently electrical eliminates enable encodes encoding engineering entire equal equated equations error excitation extent frame free full fully function functions general generated geometry gradient gradients head highly ideal imposed in vivo inserted international introduced investigation iterative limited linear location make many matrix memory minimizing module multiplicative next optimal option original oscillatory output parallel particular performance poorly process processing processor profile profiles proposed pulses quadratic receiver receivers reconstructed reconstructing reconstruction regularization relationship remove resolve respectively restored restoring sample sampled samples saturation scanner secondly select sensitivity simulate simultaneously since slice smallest smooth solution solved solving space spatial specifications split step substitutes support synthesize synthesized system technology took topic triggered uncorrected unrelated upper utilize variation vector