| Effect of device configuration and patient's body composition on the RF heating and nonsusceptibility artifact of deep brain stimulation implants during MRI at 1.5 T and 3T B Bhusal, BT Nguyen, PP Sanpitak, J Vu, B Elahi, J Rosenow, MJ Nolt, ... Journal of Magnetic Resonance Imaging 53 (2), 599-610, 2021 | 53 | 2021 |
| Vertical open‐bore MRI scanners generate significantly less radiofrequency heating around implanted leads: A study of deep brain stimulation implants in 1.2 T OASIS scanners … E Kazemivalipour, B Bhusal, J Vu, S Lin, BT Nguyen, J Kirsch, E Nowac, ... Magnetic resonance in medicine 86 (3), 1560-1572, 2021 | 30 | 2021 |
| Machine Learning-Based Prediction of MRI-Induced Power Absorption in the Tissue in Patients With Simplified Deep Brain Stimulation Lead Models J Vu, BT Nguyen, B Bhusal, J Baraboo, J Rosenow, U Bagci, MG Bright, ... IEEE Transactions on Electromagnetic Compatibility 63 (5), 1757-1766, 2021 | 23 | 2021 |
| Modifying surgical implantation of deep brain stimulation leads significantly reduces RF-induced heating during 3 T MRI J Vu, B Bhusal, J Rosenow, J Pilitsis, L Golestanirad 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 15 | 2021 |
| A comparative study of RF heating of deep brain stimulation devices in vertical vs. horizontal MRI systems J Vu, B Bhusal, BT Nguyen, P Sanpitak, E Nowac, J Pilitsis, J Rosenow, ... Plos one 17 (12), e0278187, 2022 | 13 | 2022 |
| On the accuracy of Tier 4 simulations to predict RF heating of wire implants during magnetic resonance imaging at 1.5 T P Sanpitak, B Bhusal, BT Nguyen, J Vu, K Chow, X Bi, L Golestanirad 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 12 | 2021 |
| 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 E Kazemivalipour, J Vu, S Lin, B Bhusal, BT Nguyen, J Kirsch, B Elahi, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 12 | 2020 |
| Evaluating accuracy of numerical simulations in predicting heating of wire implants during MRI at 1.5 T J Vu, B Bhusal, BT Nguyen, L Golestanirad 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 10 | 2020 |
| Device configuration and patient’s body composition significantly affect RF heating of deep brain stimulation implants during MRI: an experimental study at 1.5 T and 3T B Bhusal, BT Nguyen, J Vu, B Elahi, J Rosenow, MJ Nolt, J Pilitsis, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 8 | 2020 |
| Artifacts can be deceiving: The actual location of deep brain stimulation electrodes differs from the artifact seen on magnetic resonance images NB Nuzov, B Bhusal, KR Henry, F Jiang, J Vu, JM Rosenow, JG Pilitsis, ... Stereotactic and Functional Neurosurgery 101 (1), 47-59, 2023 | 5 | 2023 |
| Effect of surgical modification of deep brain stimulation lead trajectories on radiofrequency heating during MRI at 3T: from phantom experiments to clinical implementation J Vu, B Bhusal, JM Rosenow, J Pilitsis, L Golestanirad Journal of neurosurgery 140 (5), 1459-1470, 2023 | 2 | 2023 |
| Predicting RF Heating of Conductive Leads During Magnetic Resonance Imaging at 1.5 T: A Machine Learning Approach* C Zheng, X Chen, BT Nguyen, P Sanpitak, J Vu, U Bagci, L Golestanirad 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 2 | 2021 |
| Implants talk to each-other: RF heating changes when two DBS leads are present simultaneously during MRI B Bhusal, F Jiang, J Vu, P Sanpitak, L Golestanirad 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | 1 | 2023 |
| Optimizing the trajectory of deep brain stimulation leads reduces RF heating during MRI at 3 T: Characteristics and clinical translation J Vu, B Bhusal, J Rosenow, J Pilitsis, L Golestanirad 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | 1 | 2023 |
| Prediction of MRI-Induced Power Absorption in Patients with DBS Leads Y Tur, J Vu, S Waktola, A Medetalibeyoglu, L Golestanirad, U Bagci 2024 IEEE 37th International Symposium on Computer-Based Medical Systems …, 2024 | | 2024 |
| Rapid prediction of MRI-induced RF heating of active implantable medical devices using machine learning J Vu, P Sanpitak, B Bhusal, F Jiang, L Golestanirad 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
| Low-field MRI’s Spark on Implant Safety: A Closer Look at Radiofrequency Heating P Sanpitak, B Bhusal, J Vu, L Golestanirad 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
| Method and system to predict rf heating of medical implants L Golestani-Rad, B Elahi, JC Vu US Patent App. 17/918,260, 2023 | | 2023 |
