Abstract #4037

Ultrafast Temperature Estimation from Undersampled K-Space for MR Guided Microwave Ablation

Ke Wang¹, Zijing Dong², Fuyixue Wang², Bingyao Chen³, Jiafei Yang³, Xing Wei³, and Kui Ying⁴

¹Department of Biomedical Engineering, Tsinghua University, Beijing, China, ²Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China, ³Department of Orthopedics, First Affiliated Hospital of PLA General Hospital, Beijing, China, ⁴Key Laboratory of Particle and Radiation Imaging, Ministry of Education, Medical Physics and Engineering Institute, Department of Engineering Physics, Tsinghua University, Beijing, China

Improved fast k-space temperature estimation using Golden Angle (GA) radial can effectively accelerate the computation process and reduce the motion artifacts. However, existing MR temperature imaging methods are time-consuming and the limited performance prevent their clinical applications. This work proposed a ultrafast method to largely accelerate temperature estimation process. Using a continuous fast k-space temperature estimation, together with improved algorithm design, GPU acceleration and more efficient computation, we achieve temperature estimation with 2 seconds temporal resolution.

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