Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
361-03-015 ISMRM Abstract

Correction Algorithm for Boiling-induced Susceptibility Artifacts in 3D PRFS Thermometry during Hepatic Microwave Ablation

Primary: Interventional - Thermometry/Thermotherapy
Secondary: Contrast Mechanisms - Thermometry
361-03-015 · Thermometry and Other Contrast Mechanisms · Monday, 11 May, 1:50 PM–2:45 PM · Digital Posters Row B
Keywords: MR-Guided Interventions Microwave ablation MR Thermometry Susceptibility artifact correction
Accepted
Dominik Horstmann 1,2, Othmar Belker1,2, Moritz Gutt1,2, Bennet Hensen1,2, Simon Schröer1,2, Frank Wacker1,2, Marcel Gutberlet1,2
1Hannover Medical School, Hannover, Germany
2Research Campus STIMULATE, Magdeburg, Germany
Presenting Author: Dominik Horstmann

Synopsis

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References

1. 1. Öcal O, Dietrich O, Lentini S, Bour P, Faller T, Ozenne V, et al. Predicting liver ablation volumes with real-time MRI thermometry. JHEP Reports. 2024;6(11):101199. doi:10.1016/j.jhepr.2024.101199. [doi]
2. 2. Ozenne V, Bour P, Denis de Senneville B, Quesson B. 3D motion strategy for online volumetric thermometry using simultaneous multi-slice EPI at 1.5T: an evaluation study. International Journal of Hyperthermia. 2023;40(1):2194595. doi:10.1080/02656736.2023.2194595. [doi]
3. 3. Viallon M, Terraz S, Roland J, Dumont E, Becker CD, Salomir R. Observation and correction of transient cavitation-induced PRFS thermometry artifacts during radiofrequency ablation using simultaneous ultrasound/MR imaging: Dynamic susceptibility cavitation artifacts in MRgRFA. Medical Physics. 2010;37(4):1491–1506. doi:10.1118/1.3357294. [doi]
4. 4. Hensen B, Hellms S, Werlein C, Jonigk D, Gronski PA, Bruesch I, et al. Correction of heat-induced susceptibility changes in respiratory-triggered 2D PRF-based thermometry for monitoring of magnetic resonance-guided hepatic microwave ablation in a human-like in vivo porcine model. International Journal of Hyperthermia. 2022;39(1):1387–1396. doi:10.1080/02656736.2022.2139529. [doi]
5. 5. Dantas E, Lafont R, Bour P, et al. A subvoxel correction of boiling-induced susceptibility artifacts in magnetic resonance thermometry and dosimetry for monitoring microwave thermoablation: a feasibility study in a swine model. Magn Reson Med. 2025; doi:10.1002/mrm.70129 [doi]
6. 6. Nouwens SAN, Paulides MM, Fölker J, VilasBoas-Ribeiro I, de Jager B, Heemels WPMH. Integrated thermal and magnetic susceptibility modeling for air-motion artifact correction in proton resonance frequency shift thermometry. International Journal of Hyperthermia. 2022;39(1):967–976. doi:10.1080/02656736.2022.2119459. [doi]
7. 7. Horstmann D, Belker O, Düx D, Gerlach T, Gutt M, Schröer S, et al. Evaluation study of radial and spiral-based volumetric thermometry for monitoring of hepatic microwave ablation. Scientific Reports. 2025;15(1):32700. doi:10.1038/s41598-025-32700-4. [doi]
8. 8. Uecker M, Ong F, Tamir J. Berkeley Advanced Reconstruction Toolbox (BART) [Internet]. 2015. Available from: http://mrirecon.github.io/bart/
9. 9. Grissom WA, Lustig M, Holbrook AB, Rieke V, Pauly JM, Butts-Pauly K. Reweighted ℓ₁ referenceless PRF shift thermometry. Magnetic Resonance in Medicine. 2010;64(4):1068–1077. doi:10.1002/mrm.22490. [doi]
10. 10. Madore B, Panych LP, Mei CS, Yuan J, Chu R. Multipathway sequences for MR thermometry. Magnetic Resonance in Medicine. 2011;66(3):658–668. doi:10.1002/mrm.22833. [doi]
11. 11. Pearce JA. Comparative analysis of mathematical models of cell death and thermal damage processes. International Journal of Hyperthermia. 2013;29(4):262–280. doi:10.3109/02656736.2013.786141. [doi]
12. 12. Hensen B, Drenkmann U, Frericks B, Rothgang E, Gutberlet M, Länger F, et al. Detection of ablation boundaries using different MR sequences in a swine liver model. Cardiovascular and Interventional Radiology. 2022;45(7):1010–1018. doi:10.1007/s00270-022-03109-3. [doi]
13. 13. Shady W, Petre EN, Gonen M, et al. Percutaneous radiofrequency ablation of colorectal cancer liver metastases: Factors affecting outcomes—A 10-year experience at a single center. Radiology. 2016;278(2):601–611. doi:10.1148/radiol.2015142489. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/361-03-015