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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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