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Flexible, high spatial and temporal resolution absolute thermometry of MRI phantoms using ethylene glycol
Author(s) -
Judd Wesley,
Kim SeongEun,
Dzikiy John,
Parker Dennis L.,
Odéen Henrik
Publication year - 2025
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.30487
Subject(s) - imaging phantom , scanner , materials science , pulse sequence , pulse (music) , diffusion , biomedical engineering , calibration , ethylene glycol , diffusion mri , image resolution , computer science , nuclear magnetic resonance , physics , optics , artificial intelligence , chemistry , magnetic resonance imaging , detector , medicine , radiology , organic chemistry , quantum mechanics , thermodynamics
Abstract Purpose Quantitative MRI (qMRI) parameters such as relaxation rates and diffusion parameters are typically temperature dependent. Therefore, using phantoms to evaluate the accuracy of qMRI pulse sequences requires accurate knowledge of the absolute temperature throughout the phantom. This work aims to evaluate the use of ethylene glycol (EG) together with a multi‐echo gradient recalled echo (ME‐GRE) pulse sequence for MR spectroscopic‐based measurement of absolute temperature in phantoms. Methods We develop and test a simple MR spectroscopic imaging approach to rapidly, automatically, accurately, and precisely measure absolute temperature at multiple locations throughout a qMRI phantom. A series of EG cubes are located throughout the phantom and imaged with a ME‐GRE pulse sequence over a wide range of temperatures (˜7°C–37°C) and on multiple scanners. The resulting images were automatically processed to isolate the EG. The measured spectral peak spacing was calibrated to temperature using fiber optic probes. The accuracy and precision of the measurements were evaluated between scanners over a range of temperatures. Results The spectral peak spacing of EG can be used to predict temperature with an error of 0.6°C ± 0.3°C with an increase of 0.1°C when evaluated on different scanners. An automatic reconstruction approach without manual input is described, highlighting the feasibility of online implementation on a clinical MRI scanner. Conclusion The described MR spectroscopic imaging approach is easy to implement and provides robust, automatic, and accurate measurement of absolute temperature throughout a phantom.
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