Feiyu Chen1, Enhao Gong2, Shuo Chen3, Xinwei Shi1, Feng Huang4, Shi Wang3, Kui Ying3
1Department of Biomedical Engineering, Tsinghua University, Beijing, China; 2Electrical Engineering, Stanford University, Stanford, CA, United States; 3Department of Engineering Physics, Tsinghua University, Beijing, China; 4Philips Healthcare, Gainesville, FL, United States
MR thermometry based on proton resonance frequency shift (PRFS) is a promising method for noninvasive temperature measurement. In this method, phase differential information is highly needed during the acquisition and reconstruction process. Previous research has demonstrated that the correlation between different scans could be used for reconstruction from under-sampled data. Based on this demonstration, a method for accelerated temperature mapping using sharable information from reference scans is proposed in our research. Phantom experiments have demonstrated the accuracy and feasibility of our new framework in comparison with previous parallel imaging methods and parallelCCS methods.