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Abstract #4229

Exploring the Application of Gradient Field Strength in Enhancing Motion Encoding for Whole-Brain MRE Images

Shuai Wang1,2, Chenyue Liu1,2, Congcong Liu1,2, Kai Ai3, Xianjun Li1,2, Miaomiao Wang1,2, and Jian Yang1,2
1Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China, 2Shaanxi Engineering Research Center of Computational Imaging and Medical Intelligence, Xi'an, China, 3Philips Healthcare, Xi'an, China

Synopsis

Keywords: Structural Connectivity, Elastography, gradient strength

Motivation: Enhancing the propagation efficiency of shear waves in deep tissues, improving the sensitivity of motion-sensitive sequences to small shear wave displacements, optimizing inversion algorithms can enhance the quality of MRE images and increase the reliability of the results. Gradient strengt is one of the important factors affecting MRE images quality.

Goal(s): The aim of this study is to investigate the role of gradient field strength in whole-brain MRE images.

Approach: Keeping other parameters constant, varying the gradient strength of MRE yields parameter maps that are quantitatively compared.

Results: Increasing the gradient field strength appropriately can enhance the motion encoding of whole-brain MRE images.

Impact: Appropriate gradient field strength settings contribute to improving the quality of MRE images and enhancing the reliability of results

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Keywords