Meeting Banner
Abstract #1813

Spectrum-Based and Least-Square PRF Hybrid Method for MR Temperature Mapping

Shuo Chen1, Xinwei Shi2, Feiyu Chen2, Karen Ying3, Shi Wang3

1Engineering Physics, Tsinghua University, Beijing, China; 2Biomedical Engineering, Tsinghua, Beijing, China; 3Engineering Physics, Tsinghua, Beijing, China

A new Spectrum Based/Least-Square PRFS hybrid method for MR temperature mapping is proposed, which can measure temperature in water-only and water-fat mixed tissues simultaneously. In water-only region, the accuracy of temperature measurement is improved by modifying traditional PRFS method with least square fitting. In addition, fat frequency calculated in water-fat mixed voxels is utilized to eliminate B0 field drift effect in PRFS method. The proposed method was validated in phantom experiment.

Keywords

accuracy accurate acquisition addition additional agreement among another aqueous bandwidth best better biomedical body caused channel chemical china coil colloidal conducted confounding consisting constant containing contains continuously correct corrected correction curves denotes described diagram distinguish drift dynamic eliminated engineering error evolution experiment extended feasibility fiber field fitting frame frames frequencies frequency future generally golden head heated heating huge hybrid ideal improve in vivo increasing independent inhomogeneity initial internal least linear lipid local magnitude mapping matrix measure measured mixed mixture model modeled monitor motion named ones optic part parts peanut phantom physics pixels positioned presence previous problems promising proposed proton protons readings receiver reeder related removed represents requires scanned scanner schematic scheme separately separation several simultaneously since slice solve spectrum square stability stable starting subtracting suffers surrounding system temperature theory therapy thermal thermometer thermometry throughout tissue tissues traditional uncorrected utilized water whole