A Guidewire Trajectory Generation Tool for Interventional MRI Simulations
Abstract
Significance: RF-induced heating of endovascular devices limits MRI-guided interventions, including targeted drug delivery to brain tumors. Purpose: To present a tool that rapidly generates randomized guidewire trajectories for RF heating risk assessment. Methods: A MATLAB tool models the guidewire as a spline with randomized control nodes and a fixed nominal length. As a use case, tip sSAR was estimated for 1000 trajectories using straight-wire transfer functions and 64 MHz local and body coil fields (matched B1) in the Duke phantom. Results: Length accuracy was 99.84%, and 3000 trajectories were generated in 11.5 s. Body-to-local sSAR ratios at the 50th, 95th, and 99th percentiles were 1.5, 1.6, and 2.27, but some trajectories heated more under the local coil. Conclusion: The tool enables large-sample heating assessment, and coil type alone did not reliably predict individual trajectory risk.
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BibTeX
@misc{haj2026guidewire,
title = {{A Guidewire Trajectory Generation Tool for Interventional MRI Simulations}},
author = {Fatima Ben Haj and Jeffrey Hand and Shaihan Malik and Felipe Godinez},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.04216},
eprint = {2610.04216},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.04216},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - A Guidewire Trajectory Generation Tool for Interventional MRI Simulations
AU - Fatima Ben Haj
AU - Jeffrey Hand
AU - Shaihan Malik
AU - Felipe Godinez
PY - 2026
DA - 2026/10/03
PB - arXiv
DO - 10.48550/arxiv.2610.04216
UR - https://arxiv.org/abs/2610.04216
AB - Significance: RF-induced heating of endovascular devices limits MRI-guided interventions, including targeted drug delivery to brain tumors. Purpose: To present a tool that rapidly generates randomized guidewire trajectories for RF heating risk assessment. Methods: A MATLAB tool models the guidewire as a spline with randomized control nodes and a fixed nominal length. As a use case, tip sSAR was estimated for 1000 trajectories using straight-wire transfer functions and 64 MHz local and body coil fields (matched B1) in the Duke phantom. Results: Length accuracy was 99.84%, and 3000 trajectories were generated in 11.5 s. Body-to-local sSAR ratios at the 50th, 95th, and 99th percentiles were 1.5, 1.6, and 2.27, but some trajectories heated more under the local coil. Conclusion: The tool enables large-sample heating assessment, and coil type alone did not reliably predict individual trajectory risk.
ER -