Abstract #4286
Effective data sharing method for extreme cartesian undersampling in MRF
Tae-joon Eo 1 , Jinseong Jang 1 , Minoh Kim 1 , Narae Choi 1 , Dongyeob Han 1 , Dong-hyun Kim 1 , and Dosik Hwang 1
1
School of Electrical and Electronic
Engineering, Yonsei University, Seoul, Korea
This study demonstrates that the accurate parameter maps
can be obtained from extremely undersampled Cartesian
trajectory data in MRF by applying the proposed data
sharing method.
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