Abstract #1651
Fat Suppression Using Random Encoding Pulse Sequences
Haifeng Wang 1 , Yihang Zhou 2 , Yuchou Chang 3 , and Dong Liang 4
1
Department of Diagnostic Radiology, Yale
University, New Haven, CT, United States,
2
Department
of Electrical Engineering, University at Buffalo, The
State University of New York, Buffalo, NY, United
States,
3
Barrow
Neurological Institute, Phoenix, AZ, United States,
4
Shenzhen
Institutes of Advanced Technology, Chinese Academy of
Sciences, Shenzhen, Guangdong, China
Many methods of fat suppression are applied, but the
cost is more computational time or sequence durations.
In this abstract, a novel fat suppression method, named
as Hybrid, is proposed to suppress the fat signal and
enhance the image contrast. The method exploits
non-Fourier random encoding pulse sequences to generate
inhomogeneous B1 filed, thus the signal contrast of fat
and other tissues has been changed comparing the
conventional Fourier encoding method. The actual in vivo
human knee experiments illustrate the proposed method
augment the signal contrast of fat and other tissues,
suppress more the fat signal than the conventional
Fourier method, and has no growth of imaging time and
decoding computational complexity.
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