An enhanced hybrid MRI thermometry technique for monitoring microwave thermal therapy

摘要

The proton resonance frequency shift (PRFS) method is the most frequently used method to perform volumetricthermometry during MRI-guided thermal therapies. However, one of the main drawbacks of the PRFS methodis its sensitivity to inter-frame motion and magnetic field drifts, which can result in incorrect estimation of temperatureprofiles. To address these problems, several techniques have been proposed, such as the referenceless,multi-baseline, and hybrid methods. While the hybrid method has demonstrated the best performance, it assumesfocal heating, which may be valid when using energy modalities such as high intensity focused ultrasound,but does not hold for heating using diffuse sources such as needle- and catheter-based microwave applicators.Here, we present an enhanced hybrid method suitable for MRI thermometry in the presence of motion duringmicrowave thermal therapy. The presented model-based method uses the sparsity of wavelet coefficients of thephase shift based on the fact that heat-induced phase shifts exhibit a correlation structure due to smoothness.The presented enhanced hybrid method is compared to the previously presented hybrid and conventional PRFSmethods for temperature estimation during microwave heating of a tissue-mimicking phantom with a 2.45 GHzdirectional microwave antenna integrated with 14.1 T high-field MRI. Experimental results demonstrate thatthe proposed method estimates microwave heating-induced temperature changes within 0.3-0.5 °C (mean errorof 5.9 % over 5 min of heating) of fiber-optic temperature sensors, compared to 1.5 °C (mean error of 36.3% over5 min of heating) with the hybrid technique.