Reducing the ambiguity of field inhomogeneity and chemical shift effect for fat–water separation by field factor

Author:

Peng Hao1ORCID,Cheng Chuanli12ORCID,Wan Qian1,Liang Dong12ORCID,Liu Xin12,Zheng Hairong1ORCID,Zou Chao12ORCID

Affiliation:

1. Paul C. Lauterbur Research Center for Biomedical Imaging Shenzhen Institutes of Advance Technology, Chinese Academy of Sciences Shenzhen China

2. Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province Shenzhen Institutes of Advance Technology, Chinese Academy of Sciences Shenzhen China

Abstract

PurposeTo reduce the ambiguity between chemical shift and field inhomogeneity with flexible TE combinations by introducing a variable (field factor).Theory and MethodsThe ambiguity between chemical shift and field inhomogeneity can be eliminated directly from the multiple in‐phase images acquired at different TEs; however, it is only applicable to few echo combinations. In this study, we accommodated such an implementation in flexible TE combinations by introducing a new variable (field factor). The effects of the chemical shift were removed from the field inhomogeneity in the candidate solutions, thus reducing the ambiguity problem. To validate this concept, multi‐echo MRI data acquired from various anatomies with different imaging parameters were tested. The derived fat and water images were compared with those of the state‐of‐the‐art fat–water separation algorithms.ResultsRobust fat–water separation was achieved with the accurate solution of field inhomogeneity, and no apparent fat–water swap was observed. In addition to the good performance, the proposed method is applicable to various fat–water separation applications, including different sequence types and flexible TE choices.ConclusionWe propose an algorithm to reduce the ambiguity of chemical shift and field inhomogeneity and achieved robust fat–water separation in various applications.

Funder

National Key Research and Development Program of China

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

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