Abstract #4283
Iterative Compressed Sensing Reconstruction Using Forward Model Based on MR Multi-Parameter
Jinseong Jang 1 , Tae-Joon Eo 1 , Narae Choi 1 , Minoh Kim 1 , Dongyeob Han 1 , Dong-Hyun Kim 1 , and Dosik Hwang 1
1
School of Electrical and Electronic
Engineering, Yonsei University, Seoul, Korea
Magnetic resonance fingerprinting is a method that can
quantitatively estimate MR parameters such as T1, T2 of
specific tissues, by matching pattern of signal
evolution obtained from the scanner with the pattern of
signal evolution that is generated from MR forward
modelling. the well-accepted Cartesian trajectory needs
to be considered for robust implementation of MRF for
fast processing In this study, efficient iterative
compressed sensing (CS) reconstruction method is
proposed to highly accelerate the Cartesian-trajectory
based acquisition for MRF, leading to the reduction
factor up to 16.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Click here for more information on becoming a member.
