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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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