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Practical utilization of nonlinear spatial encoding: Fast field mapping and FRONSAC-wave.
Zhang, Horace Z; Constable, R Todd; Galiana, Gigi.
Affiliation
  • Zhang HZ; Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
  • Constable RT; Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
  • Galiana G; Department of Radiology & Biomedical Imaging, Yale University, New Haven, Connecticut, USA.
Magn Reson Med ; 92(3): 1035-1047, 2024 Sep.
Article in En | MEDLINE | ID: mdl-38651264
ABSTRACT

PURPOSE:

To 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

METHODS:

The 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.

RESULTS:

Field 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.

CONCLUSION:

Results 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.
Subject(s)
Key words

Full text: 1 Database: MEDLINE Main subject: Algorithms / Brain / Magnetic Resonance Imaging Limits: Humans Language: En Journal: Magn Reson Med Journal subject: DIAGNOSTICO POR IMAGEM Year: 2024 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Main subject: Algorithms / Brain / Magnetic Resonance Imaging Limits: Humans Language: En Journal: Magn Reson Med Journal subject: DIAGNOSTICO POR IMAGEM Year: 2024 Type: Article Affiliation country: United States