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Abstract #4130

A k-space reconstruction method to increase the accuracy of PRF thermometry measurements

Shenyan Zong1,2, Chang-Sheng Mei3, Guofeng Shen1, and Bruno Madore2
1Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States, 3Department of Physics, Soochow University, Taipei, Taiwan

It has been shown that spatial gradients in the background phase of an image can cause artifacts/errors in MRI temperature measurement. In the present work, a reconstruction method called 'k-space energy spectrum analysis' (KESA), originally developed in the context of partial-Fourier imaging, is adapted and tested here for its ability to correct for this particular problem. Compared to the previously-published image-based method already available for this purpose, the present k-space based method proved considerably more robust in the presence of high levels of noise, as tested with phantom data.

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