Alpers, JulianReimert, DanielRötzer, MaximilianGerlach, ThomasGutberlet, MarcelWacker, FrankHensen, BennetHansen, Christian2021-06-242021-06-2401. Januar2021The afore mentioned paper is describing the data base. Please cite the paper when using the data base.http://open-science.ub.ovgu.de/xmlui/handle/684882692/89https://doi.org/10.24352/UB.OVGU-2021-081- 13 ex vivo polyacrylamid gel phantomso 7 homogeneous phantomso 6 phantoms with flexible tubes to simulate blood flow- All data sets consist of the:o unprocessed magnitude and phase imageso reconstructed heat maps using the proton resonance frequency shift methodo segmentation of the coagulation zoneo the reconstructed output from our methodFast and reliable monitoring of volumetric heat distribution during MRI-guided tumor ablation is an urgent clinical need. In this work, we introduce a method for generating 2.5D thermometry maps from uniformly distributed 2D MRI phase images rotated around the applicator’s main axis. The images can be fetched directly from the MR device, reducing the delay between image acquisition and visualization. For reconstruction, we use a weighted interpolation on a cylindric coordinate representation to calculate the heat value of voxels in a region of interest. A pilot study on 13 ex vivo bio protein phantoms with flexible tubes to simulate a heat sink effect was conducted to evaluate our method. After thermal ablation, we compared the measured coagulation zone extracted from the post-treatment MR data set with the output of the 2.5D thermometry map. The results show a mean Dice score of 0.75±0.07, a sensitivity of 0.77±0.03, and a reconstruction time within18.02ms±5.91ms. Future steps should address improving temporal resolution and accuracy, e.g., incorporating advanced bioheat transfer simulations.enImage-Guided InterventionsImage ReconstructionSimulation2.5D ThermometryDataset