Abstract #2093

Fast Temperature Estimation from Undersampled k-Space with Fully Sampled Center for Real Time MR Guided Microwave Ablations

Fuyixue Wang¹, Zijing Dong¹, Shuo Chen², Bingyao Chen³, Jiafei Yang³, Xing Wei³, Shi Wang², and Kui Ying²

¹Department of Biomedical Engineering, Tsinghua University, Beijing, China, People's Republic of, ²Key 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, ³Department of Orthopedics, First Affiliated Hospital of PLA General Hospital, Beijing, China, People's Republic of

Real time thermometry is desirable for thermal therapy such as microwave ablation to ensure patient safety. MR temperature imaging using proton resonance frequency (PRF) shift technique can provide temperature maps during the treatment. In this work, we proposed a novel reconstruction framework that estimates temperature changes from undersampled k-space with a few fully sampled k-space points. Simulation studies, phantom heating experiments and human experiments were performed to validate the proposed method. The proposed method can provide temperature images with relatively high accuracy and short reconstruction time at a reduction factor of 4 in presence of motion.

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