Magnetic Resonance Imaging (MRI) is an attractive method of temperature mon
itoring in vivo due to its non-invasive nature. The natural extension of th
is temperature monitoring is to implement temperature control. This work ou
tlines a method of MRI-based thermal modelling for multi-source phased arra
y heating systems that can potentially be employed, in the future, for real
time temperature prediction and control. This method is based on Pennes bi
oheat equation. It employs the superposition of an empirically acquired bas
is set of temperature distributions that define the heating system's temper
ature response. MR thermal images based on the proton resonance frequency s
hift (PRFS) technique are used to acquire this basis set. The feasibility o
f this approach is tested in phantom using a radiofrequency (RF) heating sy
stem. The results show that this method can accurately reproduce measured t
emperature distributions outside of the basis set.