PURPOSE: Magnetic resonance thermometry (MRT) is an attractive means to non-invasively monitor in vivo temperature during head and neck hyperthermia treatments because it can provide multi-dimensional temperature information with high spatial resolution over large regions of interest. However, validation of MRT measurements in a head and neck clinical set-up is crucial to ensure the temperature maps are accurate. Here we demonstrate a unique approach for temperature probe sensor localisation in head and neck hyperthermia test phantoms. METHODS: We characterise the proton resonance frequency shift temperature coefficient and validate MRT measurements in an oil-gel phantom by applying a combination of MR imaging and 3D spline fitting for accurate probe localisation. We also investigate how uncertainties in both the probe localisation and the proton resonance frequency shift (PRFS) thermal coefficient affect the registration of fibre-optic reference temperature probe and MRT readings. RESULTS: The method provides a two-fold advantage of sensor localisation and PRFS thermal coefficient calibration. We provide experimental data for two distinct head and neck phantoms showing the significance of this method as it mitigates temperature probe localisation errors and thereby increases accuracy of MRT validation results. CONCLUSIONS: The techniques presented here may be used to simplify calibration experiments that use an interstitial heating device, or any heating method that provides rapid and spatially localised heat distributions. Overall, the experimental verification of the data registration and PRFS thermal coefficient calibration technique provides a useful benchmarking method to maximise MRT accuracy in any similar context.
PURPOSE: Magnetic resonance thermometry (MRT) is an attractive means to non-invasively monitor in vivo temperature during head and neck hyperthermia treatments because it can provide multi-dimensional temperature information with high spatial resolution over large regions of interest. However, validation of MRT measurements in a head and neck clinical set-up is crucial to ensure the temperature maps are accurate. Here we demonstrate a unique approach for temperature probe sensor localisation in head and neck hyperthermia test phantoms. METHODS: We characterise the proton resonance frequency shift temperature coefficient and validate MRT measurements in an oil-gel phantom by applying a combination of MR imaging and 3D spline fitting for accurate probe localisation. We also investigate how uncertainties in both the probe localisation and the proton resonance frequency shift (PRFS) thermal coefficient affect the registration of fibre-optic reference temperature probe and MRT readings. RESULTS: The method provides a two-fold advantage of sensor localisation and PRFS thermal coefficient calibration. We provide experimental data for two distinct head and neck phantoms showing the significance of this method as it mitigates temperature probe localisation errors and thereby increases accuracy of MRT validation results. CONCLUSIONS: The techniques presented here may be used to simplify calibration experiments that use an interstitial heating device, or any heating method that provides rapid and spatially localised heat distributions. Overall, the experimental verification of the data registration and PRFS thermal coefficient calibration technique provides a useful benchmarking method to maximise MRT accuracy in any similar context.
Authors: M R Tarasek; Y Shu; D Kang; S Tao; E Gray; J Huston; Y Hua; D T B Yeo; M A Bernstein; T K Foo Journal: Magn Reson Imaging Date: 2021-10-16 Impact factor: 2.546
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Authors: Zahabiya Campwala; Benjamin Szewczyk; Teresa Maietta; Rachel Trowbridge; Matthew Tarasek; Chitresh Bhushan; Eric Fiveland; Goutam Ghoshal; Tamas Heffter; Katie Gandomi; Paulo Alberto Carvalho; Christopher Nycz; Erin Jeannotte; Michael Staudt; Julia Nalwalk; Abigail Hellman; Zhanyue Zhao; E Clif Burdette; Gregory Fischer; Desmond Yeo; Julie G Pilitsis Journal: Int J Hyperthermia Date: 2021 Impact factor: 3.753
Authors: Katie Y Gandomi; Paulo A W G Carvalho; Matthew Tarasek; Eric W Fiveland; Chitresh Bhushan; Emery Williams; Paul Neubauer; Zhanyue Zhao; Julie Pilitsis; Desmond Yeo; Christopher J Nycz; Everette Burdette; Gregory S Fischer Journal: IEEE Trans Biomed Eng Date: 2021-05-21 Impact factor: 4.756