Xinyi Pan1, Cheng Li1, Kui Ying1, Dehe Weng2, Wen Qin3, Kuncheng Li3
1Engineering Physics, Tsinghua University, Beijing, China; 2Siemens Mindit Magnetic Resonance Ltd. (SMMR), Shenzhen, Guangdong, China; 3Radiology, Xuanwu Hospital, Beijing, China
MR-guided thermal therapy has been used in the breast cancer treatment in which PRFS method is a promising noninvasive temperature monitoring tool. However, conventional phase mapping method is sensitive to respiratory motion, field drift, and widely distributed fat in the breast. A temperature model using fat as an internal reference has been proposed in our previous work to overcome aforementioned problems. In this work, the method is applied in the breast. The model and related algorithm are modified to be able to distinguish multiple species and tolerate low SNR. Its feasibility is demonstrated through a preliminary in vivo experiment.
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