Fast magnetic resonance acoustic radiation force imaging with high under-sampling rate.

Motivation: Magnetic resonance acoustic radiation force imaging (MR-ARFI) is a promising tool for ultrasound localization in MR-guided ultrasound applications. To ensure image quality, repetitive ultrasound sonication is required and may cause inevitable neurological effects and energy deposition. Goal(s): We aim to develop a reconstruction algorithm for highly under-sampled MR-ARFI. Approach: The reconstruction is formulated by a constrained minimization problem regulated by the spatial sparsity of displacement image and data consistencies between ARFI images with opposite displacement encodings. Results: Experimental results of retrospective and prospective under-sampling show that the proposed method is well-performed in terms of reconstruction error at acceleration rate as high as 10. Impact: The proposed method can be exploited to achieve fast MR-ARFI at high under-sampling rate to reduce the ultrasound deposition and shorten the scanning time, which is crucial for the safety concern of ARFI application in human study.