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Abstract #2193

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

Yuening Yuan1,2, Zhaoyang Xu1,2, Yang Liu1, Xiaojing Long1, Wenzhong Liu2, Hairong Zheng1, and Chao Zou1
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2Huazhong University of Science and Technology, Wuhan, China

Synopsis

Keywords: MR-Guided Focused Ultrasound, MR-Guided Interventions, MR-ARFI, image reconstruction, compressed sensing.

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.

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Keywords