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DAES: Self-Supervised Parameter Estimation Model for MR Fingerprinting

Development and validation of a rapid robust 3D-MRF with fast online recon suitable for large-scale neuroscientific and clinical applications

Sequence Adaptive B1 and B0 Field-imperfections Estimation (SAFE) for enhanced MRF quantification

Author:Mengze Gao  Xiaozhi Cao  Daniel Abraham  Zihan Zhou  Kawin Setsompop  

Session Type:Oral  

Session Date:Thursday, 09 May 2024  

Session Name:Overcoming Imperfections & Artifacts  

Program Number:1254  

Room Session:Nicoll 2  

Institution:Stanford University  

Towards ultrafast submillimeter T2 and QSM quantification at 3T using spherical Echo Planar Time Resolved Imaging (sEPTI)

Author:Nan Wang  Mark Nishimura  Mahmut Yurt  Mengze Gao  Daniel Abraham  Cagan Alkan  Congyu Liao  Xiaozhi Cao  Zihan Zhou  Kawin Setsompop  

Session Type:Oral  

Session Date:Tuesday, 07 May 2024  

Session Name:Quantitative Image Reconstruction  

Program Number:0628  

Room Session:Hall 606  

Institution:Stanford University  

Unlocking Data-Consistent Synthesis of Clinical Contrasts from Magnetic Resonance Fingerprinting with Semi-Supervised Learning

Variational diffusion models for blind MRI inverse problems