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Abstract #4940

Needle Artifact Prediction by Modeling Dephasing in MR-Guided Interventions

Jonas Frederik Faust1,2, Axel Joachim Krafft1, Jianing Pang3, Mark Edward Ladd2,4,5, and Florian Maier1
1Siemens Healthcare GmbH, Erlangen, Germany, 2Faculty of Physics and Astronomy, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany, 3Siemens Medical Solutions USA Inc, Malvern, PA, United States, 4Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 5Faculty of Medicine, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany

Synopsis

Keywords: MR-Guided Interventions, MR-Guided Interventions, needle artifact, device artifact, needle intervention, percutaneous intervention, modelling

Motivation: MR-guided needle interventions benefit from prior knowledge of needle artifact size and shape, as the artifact is important for instrument visualization and localization.

Goal(s): To investigate an analytical model for the dephasing artifact of a 20-gauge aspiration needle in GRE imaging based on material and imaging parameters.

Approach: Model accuracy was evaluated in-vitro for B0 = 0.55T/1.5T/3T, res = (1mm)3/(2mm)3 and TE = 5ms/15ms/25ms using Dice score (DSC) and Hausdorff distance (dH) as metrics.

Results: For isotropic voxel grids, the dephasing needle artifact could be well approximated by the model (DSC ≥ 86%, dH ≤ 2 voxels).

Impact: The approximation of needle artifacts using an analytical model provides an instructive way for artifact size prediction and can potentially facilitate MR-guided intervention planning (e.g., the choice of imaging parameters, needle selection and system selection).

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Keywords