Laser interstitial thermotherapy (LITT) is a clinical treatment modality performed under the guidance of magnetic resonance temperature imaging (MRTI). Current limitations in MRTI prevent real-time volumetric monitoring of the tissue regions being treated. In this work, we investigate the use of the model predictive filtering method (MPF), using a Green’s function heat kernel, to reconstruct large field-of-view MRTI data of phantom heating to validate their use for future real-time volumetric MRTI treatment monitoring.
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