Practical utilization of nonlinear spatial encoding: Fast field mapping and FRONSAC‐wave

Author:

Zhang Horace Z.1ORCID,Constable R. Todd12,Galiana Gigi12

Affiliation:

1. Department of Biomedical Engineering Yale University New Haven Connecticut USA

2. Department of Radiology & Biomedical Imaging Yale University New Haven Connecticut USA

Abstract

AbstractPurposeTo study the additional value of FRONSAC encoding in 2D and 3D wave sequences, implementing a simple strategy to trajectory mapping for FRONSAC encoding gradients.Theory and MethodsThe nonlinear gradient trajectory for each voxel was estimated by exploiting the sparsity of the point spread function in the frequency domain. Simulations and in‐vivo experiments were used to analyze the performance of combinations of wave and FRONSAC encoding.ResultsField mapping using the simplified approach produced similar image quality with much shorter calibration time than the comprehensive mapping schemes utilized in previous work. In‐vivo human brain images showed that the addition of FRONSAC encoding could improve wave image quality, particularly at very high undersampling factors and in the context of limited wave amplitudes. These results were further supported by g‐factor maps.ConclusionResults show that FRONSAC can be used to improve image quality of wave at very high undersampling rates or in slew‐limited acquisitions. Our study illustrates the potential of the proposed fast field mapping approach.

Funder

National Institutes of Health

Publisher

Wiley

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