Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
467-02-013 ISMRM Abstract

Feasibility of automated roadmapping and holographic visualization for MR-guided endovascular liver procedures

Accepted
G.W.D. Wennemars 1, Joppe Sallevelt2, Evangelia Ilia2, C.G. Overduin1, Jurgen Futterer1, Wyger Brink1,2
1Minimally Invasive Image-Guided Intervention Center, Radboud University Medical Center, Nijmegen, Netherlands
2Multi-Modality Medical Imaging group, TechMed Centre, University of Twente, Enschede, Netherlands
Presenting Author: G.W.D. Wennemars

Synopsis

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References

1. Schmidt VF, Öcal O, Walther V, Fabritius MP, Dietrich O, Kazmierczak PM, et al. Clinical benefits of MRI-guided freehand biopsy of small focal liver lesions in comparison to CT guidance. Eur Radiol 2024;34:5507–16. https://doi.org/10.1007/s00330-024-10623-9. [doi]
2. Nijsink H, Overduin CG, Willems LH, Warlé MC, Fütterer JJ. Current State of MRI-Guided Endovascular Arterial Interventions: A Systematic Review of Preclinical and Clinical Studies. J Magn Reson Imaging 2022;56:1322–42. https://doi.org/10.1002/jmri.28205. [doi]
3. Roosen J, Westlund Gotby LEL, Arntz MJ, Fütterer JJ, Janssen MJR, Konijnenberg MW, et al. Intraprocedural MRI-based dosimetry during transarterial radioembolization of liver tumours with holmium-166 microspheres (EMERITUS-1): a phase I trial towards adaptive, image-controlled treatment delivery. Eur J Nucl Med Mol Imaging 2022;49:4705–15. https://doi.org/10.1007/s00259-022-05902-w. [doi]
4. Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin J-C, Pujol S, et al. 3D Slicer as an Image Computing Platform for the Quantitative Imaging Network. Magn Reson Imaging 2012;30:1323–41. https://doi.org/10.1016/j.mri.2012.05.001. [doi]
5. Isensee F, Jaeger PF, Kohl SAA, Petersen J, Maier-Hein KH. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nat Methods 2021;18:203–11. https://doi.org/10.1038/s41592-020-01008-z. [doi]
6. Segars WP, Sturgeon G, Mendonca S, Grimes J, Tsui BMW. 4D XCAT phantom for multimodality imaging research. Med Phys 2010;37:4902–15. https://doi.org/10.1118/1.3480985. [doi]
7. Ilia E, Kramers I, Damgrave R, Brink W. An Extended Reality Interface for Interventional MRI, Honolulu, Hawaii, USA: 2025, p. 2050. https://doi.org/10.58530/2025/2050. [doi]
8. De Zan G, de Jongh M, Karloci V, Guglielmo M, van der Bilt I. First experience with a vendor-neutral three-dimensional mapping system for cardiac magnetic resonance-guided electrophysiological procedures: a case report. Eur Heart J - Case Rep 2024;8:ytae271. https://doi.org/10.1093/ehjcr/ytae271. [doi]
9. Seppenwoolde J-H, Bartels LW, van der Weide R, Nijsen JFW, van het Schip AD, Bakker CJG. Fully MR-guided hepatic artery catheterization for selective drug delivery: A feasibility study in pigs. J Magn Reson Imaging 2006;23:123–9. https://doi.org/10.1002/jmri.20479. [doi]

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