ArticleMagnetic resonance in medicine2026
Model Predictive Filtering MR Temperature Imaging for Laser-Induced Interstitial Thermotherapy.
Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeTo evaluate the use of the Model Predictive Filtering (MPF) method to improve temporal resolution of magnetic resonance temperature imaging (MRTI) for monitoring laser interstitial thermal therapy (LITT) ablations.
methodsUsing a Green's function method for solving differential equations, a treatment-specific power matrix Q was derived from a LITT heating and used in the Pennes bioheat equation (PBHE) to model a subsequent higher power heating and supplement subsampled k-space data. This MPF method was evaluated using both 3D segmented EPI data and a tissue mimicking phantom and clinical LITT treatment data after retrospective subsampling. Reconstruction accuracy was assessed via thermal dose and analysis of the hottest voxel and region-of-voxels over time.
resultsIn the phantom data, temporal resolution equivalent to a 12-slice acquisition was produced with larger fields-of-view (24 and 36 slices, R = 2 and 3) with good hottest voxel-over-time accuracy and 240 CEM
conclusionThe MPF algorithm allowed for large field-of-view (FOV) volumetric temperature imaging without decreasing temporal resolution in phantom heatings. Bi-planar clinical treatment data reconstruction showed good accuracy for the application of MPF to in vivo data.
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