An effective method for monitoring tissue temperature using low-field MRI system

Article type: Other

Authors: Chen, Yuping^a | Ge, Mengke^a | Jiang, Hejun^a | Wang, Lulu^{b; *} | Qiu, Bensheng^{a; *}

Affiliations: [a] Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, China | [b] School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei, Anhui, China

Correspondence: [*] Corresponding authors: Bensheng Qiu, Centers for Biomedical Engineering, University of Science and Technology of China, 443 Huangshan Road, Hefei, Anhui, China. Tel./Fax: +86 551 63600583; E-mail: bqiu@ustc.edu.cn.LuluWang,SchoolofInstrumentScienceandOpto-ElectronicsEngineering,HefeiUniversityofTechnology,193TunxiRoad,Hefei,Anhui,China.Tel./Fax:+8655162901508;E-mail:luluwang2015@hfut.edu.cn.

Abstract: This technical note describes an effective method for monitoring temperature based on the minimum curvature surface fitting (MCSF) referenceless proton resonance frequency shift (PRFs) at 0.35 T. Experimental tests on phantom, ex vivo porcine livers and human brain were conducted. A comparison study between the proposed method and a fiber optic temperature probe was conducted for microwave (MW) ablation. Experimental results showed that temperature root mean square error (RMSE) calculated by MCSF model were lower than those computed by high-order polynomial fitting. For ablation experiments, the temperature errors between temperature probe and MCSF method were all less than 2∘C.

Keywords: Low-field, minimum curvature surface fitting, proton resonance frequency shift, referenceless MR thermometry

DOI: 10.3233/THC-181236

Journal: Technology and Health Care, vol. 26, no. 3, pp. 565-570, 2018