Abstract #2097

Acceleration of Temperature Mapping with an Ascending Threshold Low Rank Constraint (AscLR)

Fuyixue Wang¹, Zijing Dong¹, Bingyao Chen², Jiafei Yang², Xing Wei², Shi Wang³, and Kui Ying³

¹Department of Biomedical Engineering, Tsinghua University, Beijing, China, People's Republic of, ²Department of Orthopedics, First Affiliated Hospital of PLA General Hospital, Beijing, China, People's Republic of, ³Key Laboratory of Particle and Radiation Imaging, Ministry of Education, Medical Engineering and Institute, Department of Engineering Physics, Tsinghua University, Beijing, China, People's Republic of

Thermal therapies such as microwave ablation require temperature imaging with high temporal resolution to calculate thermal absorption and evaluate the curative effects of the ablation. Thus, acceleration techniques of data acquisition for MR temperature imaging using PRF shift technique are desirable. In this work, we explored the low rank property of k-t space in dynamic MR temperature imaging and proposed a novel fast reconstruction method AscLR with an ascending-threshold low rank constraint. Through simulation studies and microwave heating experiments, we validated the ability of the proposed method to provide relatively accurate temperature estimation at a reduction factor of 8.

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