2.5D Thermometry Maps for MRI-guided Tumor Ablation

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dc.contributor.authorAlpers, Julian
dc.contributor.authorReimert, Daniel
dc.contributor.authorRötzer, Maximilian
dc.contributor.authorGerlach, Thomas
dc.contributor.authorGutberlet, Marcel
dc.contributor.authorWacker, Frank
dc.contributor.authorHensen, Bennet
dc.contributor.authorHansen, Christian
dc.date.accessioned2021-06-24T11:54:12Z
dc.date.available2021-06-24T11:54:12Z
dc.date.created01. January 2021 – 03. March 2021
dc.date.issued2021
dc.description- 13 ex vivo polyacrylamid gel phantomsde_DE
dc.descriptiono 7 homogeneous phantoms
dc.descriptiono 6 phantoms with flexible tubes to simulate blood flow
dc.description- All data sets consist of the:
dc.descriptiono unprocessed magnitude and phase images
dc.descriptiono reconstructed heat maps using the proton resonance frequency shift method
dc.descriptiono segmentation of the coagulation zone
dc.descriptiono the reconstructed output from our method
dc.description.abstractFast 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.de_DE
dc.identifier.citationThe afore mentioned paper is describing the data base. Please cite the paper when using the data base.de_DE
dc.identifier.urihttp://open-science.ub.ovgu.de/xmlui/handle/684882692/89
dc.identifier.urihttps://doi.org/10.24352/UB.OVGU-2021-081
dc.language.isoende_DE
dc.publisherOtto-von-Guericke-Universität Magdeburgde_DE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectImage-Guided Interventionsde_DE
dc.subjectImage Reconstructionde_DE
dc.subjectSimulationde_DE
dc.subject2.5D Thermometryde_DE
dc.title2.5D Thermometry Maps for MRI-guided Tumor Ablationde_DE
dc.typeDatasetde_DE

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