ArticleMagnetic resonance in medicine2020
RF heating of deep brain stimulation implants in open-bore vertical MRI systems: A simulation study with realistic device configurations.
Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
20 citing papers in PubMed, 42 citations in OpenAlex.
- Read My Leads: Subject-Specific RF Hazard Assessment and Mitigation for DBS Implants in MRI.Magnetic resonance in medicine · 2026Article
- MRI and Implant Safety at Low-Field and Ultralow-Field Strengths.Journal of magnetic resonance imaging : JMRI · 2026Review
- Enhancing fine-tuning efficiency and design optimization of an eight-channel 3T transmit array via equivalent circuit modeling and Eigenmode analysis.Medical physics · 2025Article
- Modifying the trajectory of epicardial leads can substantially reduce MRI-induced RF heating in pediatric patients with a cardiac implantable electronic device at 1.5T.Magnetic resonance in medicine · 2023Article
- Low-field MRI's Spark on Implant Safety: A Closer Look at Radiofrequency Heating.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2023Article
- Rapid prediction of MRI-induced RF heating of active implantable medical devices using machine learning.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2023Article
- Application of Machine learning to predict RF heating of cardiac leads during magnetic resonance imaging at 1.5 T and 3 T: A simulation study.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2023Article
- Article
- A workflow for predicting temperature increase at the electrical contacts of deep brain stimulation electrodes undergoing MRI.Magnetic resonance in medicine · 2022Article
- Safety of MRI in patients with retained cardiac leads.Magnetic resonance in medicine · 2022Article
- A comparative study of RF heating of deep brain stimulation devices in vertical vs. horizontal MRI systems.PloS one · 2022Article
- Predicting RF Heating of Conductive Leads During Magnetic Resonance Imaging at 1.5 T: A Machine Learning ApproachAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2021Article
- Machine learning-based prediction of MRI-induced power absorption in the tissue in patients with simplified deep brain stimulation lead models.IEEE transactions on electromagnetic compatibility · 2021Article
- Safety and image quality at 7T MRI for deep brain stimulation systems: Ex vivo study with lead-only and full-systems.PloS one · 2021Article
- The effect of simulation strategies on prediction of power deposition in the tissue around electronic implants during magnetic resonance imaging.Physics in medicine and biology · 2020Article
- Review
- RF heating of deep brain stimulation implants during MRI in 1.2 T vertical scanners versus 1.5 T horizontal systems: A simulation study with realistic lead configurations.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020Article
- Evaluating Accuracy of Numerical Simulations in Predicting Heating of Wire Implants During MRI at 1.5 T.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020Article
- Device Configuration and Patient's Body Composition Significantly Affect RF Heating of Deep Brain Stimulation Implants During MRI: An Experimental Study at 1.5T and 3T.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020Article
- Effect of Biophysical Model Complexity on Predictions of Volume of Tissue Activated (VTA) during Deep Brain Stimulation.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020Article
Corrections and comments
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Authors and funding
8 authors at 6 institutions in 3 countries.
Funding
Abstract
purposePatients with deep brain stimulation (DBS) implants benefit highly from MRI, however, access to MRI is restricted for these patients because of safety hazards associated with RF heating of the implant. To date, all MRI studies on RF heating of medical implants have been performed in horizontal closed-bore systems. Vertical MRI scanners have a fundamentally different distribution of electric and magnetic fields and are now available at 1.2T, capable of high-resolution structural and functional MRI. This work presents the first simulation study of RF heating of DBS implants in high-field vertical scanners.
methodsWe performed finite element electromagnetic simulations to calculate specific absorption rate (SAR) at tips of DBS leads during MRI in a commercially available 1.2T vertical coil compared to a 1.5T horizontal scanner. Both isolated leads and fully implanted systems were included.
resultsWe found 10- to 30-fold reduction in SAR implication at tips of isolated DBS leads, and up to 19-fold SAR reduction at tips of leads in fully implanted systems in vertical coils compared to horizontal birdcage coils.
conclusionsIf confirmed in larger patient cohorts and verified experimentally, this result can open the door to plethora of structural and functional MRI applications to guide, interpret, and advance DBS therapy.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.