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[59] Nuzov NB, Bhusal B, Henry KR, Jiang F, Vu J, Rosenow JM, Pilitsis JG, Elahi B, Golestanirad L. Artifacts can be deceiving: The actual location of deep brain stimulation electrodes differs from the artifact seen on magnetic resonance images. Stereotactic and Functional Neurosurgery. 2023;101(1):47-59. Download Here

[58] Chen X, Zheng C, Golestanirad L. 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. 2023 Apr 1;349:107384. Download Here

[57] Kazemivalipour E, Sadeghi-Tarakameh A, Keil B, Eryaman Y, Atalar E, Golestanirad L. Effect of field strength on RF power deposition near conductive leads: A simulation study of SAR in DBS lead models during MRI at 1.5 T—10.5 T. PloS one. 2023 Jan 26;18(1):e0280655. Download Here

[56] Vu J, Bhusal B, Nguyen BT, Sanpitak P, Nowac E, Pilitsis J, Rosenow J, Golestanirad L. A comparative study of RF heating of deep brain stimulation devices in vertical vs. horizontal MRI systems. Plos one. 2022 Dec 9;17(12):e0278187. Download Here

[55] Chow CT, Kashyap S, Loh A, Naheed A, Bennett N, Golestanirad L, Boutet A. Safety of Magnetic Resonance Imaging in Patients with Deep Brain Stimulation. InMagnetic Resonance Imaging in Deep Brain Stimulation 2022 Nov 29 (pp. 55-72). Cham: Springer International Publishing. Download Here

[54] Jiang F, Bhusal B, Sanpitak P, Webster G, Popescu A, Kim D, Bonmassar G, Golestanirad L. A comparative study of MRI-induced RF heating in pediatric and adult populations with epicardial and endocardial implantable electronic devices. In2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2022 Jul 11 (pp. 4014-4017). IEEE. Download Here

[53] Nuzov NB, Bhusal B, Henry KR, Jiang F, Rosenow J, Elahi B, Golestanirad L. True location of deep brain stimulation electrodes differs from what is seen on postoperative magnetic resonance images: An anthropomorphic phantom study. In2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2022 Jul 11 (pp. 1863-1866). IEEE. Download Here

[52] Henry KR, Miulli MM, Elahi B, Rosenow J, Nolt M, Golestanirad L. Analysis of the intended and actual orientations of directional deep brain stimulation leads across deep brain stimulation systems. In2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2022 Jul 11 (pp. 1725-1728). IEEE. Download Here

[51] Bhusal B, Jiang F, Kim D, Hong K, Monge MC, Webster G, Bonmassar G, Golestanirad L. The Position and Orientation of the Pulse Generator Affects MRI RF Heating of Epicardial Leads in Children. In2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2022 Jul 11 (pp. 5000-5003). IEEE. Download Here

[50] Nguyen BT, Bhusal B, Rahsepar AA, Fawcett K, Lin S, Marks DS, Passman R, Nieto D, Niemzcura R, Golestanirad L. Safety of MRI in patients with retained cardiac leads. Magnetic resonance in medicine. 2022 May;87(5):2464-80. Download Here

[49] De Zanche N, van den Berg C, Brunner D, Murphy-Boesch J, Rispoli J, Adriany G, Avdievich N, Boulant N, Brink W, Brown R, Fiedler T. ISMRM Best Practices for Safety Testing of Experimental RF Hardware. Download Here

[48] Henry K, Miulli M, Nuzov N, Nolt M, Rosenow J, Elahi B, Pilitsis J, Golestani Rad L. Variations in determining actual orientations of segmented deep brain stimulation leads using the manually refined DiODe algorithm: a retrospective study across different lead designs and medical institutions. medRxiv. 2022:2022-12. Download Here

[47] Vu J, Bhusal B, Rosenow J, Pilitsis J, Golestani Rad L. Surgical modification of deep brain stimulation lead trajectories substantially reduces RF heating during MRI at 3 T: From phantom experiments to clinical applications. medRxiv. 2022:2022-12. Download Here

[46] Jiang F, Henry K, Bhusal B, Sanpitak P, Webster G, Popescu A, Bonmassar G, Laternser C, Kim D, Rad LG. Age and lead configuration matter: A comparative study of RF-induced heating of epicardial and endocardial electronic devices in adult and pediatric anthropomorphic phantoms in 1.5 T MR. bioRxiv. 2022:2022-11. Download Here

[45] Sanpitak P, Bhusal B, Nguyen BT, Vu J, Chow K, Bi X, Golestanirad L. On the accuracy of Tier 4 simulations to predict RF heating of wire implants during magnetic resonance imaging at 1.5 T. In2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2021 Nov 1 (pp. 4982-4985). IEEE. Download Here

[44] Jiang F, Elahi B, Saxena M, Telkes I, DiMarzio M, Pilitsis JG, Golestanirad L. Patient-specific modeling of the volume of tissue activated (VTA) is associated with clinical outcome of DBS in patients with an obsessive-compulsive disorder. In2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2021 Nov 1 (pp. 5889-5892). IEEE. Download Here

[43] Vu J, Bhusal B, Rosenow J, Pilitsis J, Golestanirad L. Modifying surgical implantation of deep brain stimulation leads significantly reduces RF-induced heating during 3 T MRI. In2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2021 Nov 1 (pp. 4978-4981). IEEE. Download Here

[42] Zheng C, Chen X, Nguyen BT, Sanpitak P, Vu J, Bagci U, Golestanirad L. Predicting RF Heating of Conductive Leads During Magnetic Resonance Imaging at 1.5 T: A Machine Learning Approach. In2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2021 Nov 1 (pp. 4204-4208). IEEE. Download Here

[41] Nguyen BT, Bhusal B, Fawcett K, Golestanirad L. Radiofrequency heating of retained cardiac leads during magnetic resonance imaging at 1.5 T and 3 T. In2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2021 Nov 1 (pp. 4986-4989). IEEE. Download Here

[40] Vu J, Nguyen BT, Bhusal B, Baraboo J, Rosenow J, Bagci U, Bright MG, Golestanirad L. 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. 2021 Sep 30;63(5):1757-66. Download Here

[39] Bhusal B, Stockmann J, Guerin B, Mareyam A, Kirsch J, Wald LL, Nolt MJ, Rosenow J, Lopez-Rosado R, Elahi B, Golestanirad L. Safety and image quality at 7T MRI for deep brain stimulation systems: Ex vivo study with lead-only and full-systems. Plos one. 2021 Sep 7;16(9):e0257077. Download Here

[38] Kazemivalipour E, Bhusal B, Vu J, Lin S, Nguyen BT, Kirsch J, Nowac E, Pilitsis J, Rosenow J, Atalar E, Golestanirad L. 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 versus 1.5 T horizontal systems. Magnetic resonance in medicine. 2021 Sep;86(3):1560-72. Download Here

[37] Makarov SN, Golestanirad L, Wartman WA, Nguyen BT, Noetscher GM, Ahveninen JP, Fujimoto K, Weise K, Nummenmaa AR. Boundary element fast multipole method for modeling electrical brain stimulation with voltage and current electrodes. Journal of neural engineering. 2021 Aug 19;18(4):0460d4. Download Here

[36] Rad LG, Wald LL, Bonmassar G, inventors; General Hospital Corp, assignee. Mri-safe implantable leads with high-dielectric coating. United States patent application US 16/970,550. 2021 Apr 15. Download Here

[35] Rad LG, Bonmassar G, Pascual-Leone A, inventors; General Hospital Corp, assignee. Systems and methods for ultra-focal transcranial magnetic stimulation. United States patent application US 16/971,080. 2021 Apr 8. Download Here

[34] Bhusal B, Nguyen BT, Sanpitak PP, Vu J, Elahi B, Rosenow J, Nolt MJ, Lopez‐Rosado R, Pilitsis J, DiMarzio M, Golestanirad L. 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. Journal of Magnetic Resonance Imaging. 2021 Feb;53(2):599-610. Download Here

[33] Bhusal B, Keil B, Rosenow J, Kazemivalipour E, Golestanirad L. Patient’s body composition can significantly affect RF power deposition in the tissue around DBS implants: ramifications for lead management strategies and MRI field-shaping techniques. Physics in Medicine & Biology. 2021 Jan 13;66(1):015008. Download Here

[32] Nguyen BT, Pilitsis J, Golestanirad L. The effect of simulation strategies on prediction of power deposition in the tissue around electronic implants during magnetic resonance imaging. Physics in Medicine & Biology. 2020 Sep 14;65(18):185007. Download Here

[31] Navarro de Lara LI, Golestanirad L, Makarov SN, Stockmann JP, Wald LL, Nummenmaa A. Evaluation of RF interactions between a 3T birdcage transmit coil and transcranial magnetic stimulation coils using a realistically shaped head phantom. Magnetic resonance in medicine. 2020 Aug;84(2):1061-75. Download Here

[30] Vu J, Bhusal B, Nguyen BT, Golestanirad L. Evaluating accuracy of numerical simulations in predicting heating of wire implants during MRI at 1.5 T. In2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2020 Jul 20 (pp. 6107-6110). IEEE. Download Here

[29] Bhusal B, Nguyen BT, Vu J, Elahi B, Rosenow J, Nolt MJ, Pilitsis J, DiMarzio M, Golestanirad L. 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. In2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2020 Jul 20 (pp. 5192-5197). IEEE. Download Here

[28] Kazemivalipour E, Vu J, Lin S, Bhusal B, Nguyen BT, Kirsch J, Elahi B, Rosenow J, Atalar E, Golestanirad L. 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. In2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2020 Jul 20 (pp. 6143-6146). IEEE. Download Here

[27] Jiang F, Nguyen BT, Elahi B, Pilitsis J, Golestanirad L. Effect of Biophysical Model Complexity on Predictions of Volume of Tissue Activated (VTA) during Deep Brain Stimulation. In2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2020 Jul 20 (pp. 3629-3633). IEEE. Download Here

[26] Kazemivalipour E, Keil B, Vali A, Rajan S, Elahi B, Atalar E, Wald LL, Rosenow J, Pilitsis J, Golestanirad L. Reconfigurable MRI technology for low-SAR imaging of deep brain stimulation at 3T: Application in bilateral leads, fully-implanted systems, and surgically modified lead trajectories. Neuroimage. 2019 Oct 1;199:18-29. Download Here

[25] Golestanirad L, Kazemivalipour E, Keil B, Downs S, Kirsch J, Elahi B, Pilitsis J, Wald LL. Reconfigurable MRI coil technology can substantially reduce RF heating of deep brain stimulation implants: First in-vitro study of RF heating reduction in bilateral DBS leads at 1.5 T. PloS one. 2019 Aug 7;14(8):e0220043. Download Here

[24] McElcheran CE, Golestanirad L, Iacono MI, Wei PS, Yang B, Anderson KJ, Bonmassar G, Graham SJ. Numerical simulations of realistic lead trajectories and an experimental verification support the efficacy of parallel radiofrequency transmission to reduce heating of deep brain stimulation implants during MRI. Scientific reports. 2019 Feb 14;9(1):2124. Download Here

[23] Golestanirad L, Angelone LM, Kirsch J, Downs S, Keil B, Bonmassar G, Wald LL. Reducing RF-induced heating near implanted leads through high-dielectric capacitive bleeding of current (CBLOC). IEEE transactions on microwave theory and techniques. 2019 Jan 1;67(3):1265-73. Download Here

[22] Golestanirad L, Kirsch J, Bonmassar G, Downs S, Elahi B, Martin A, Iacono MI, Angelone LM, Keil B, Wald LL, Pilitsis J. RF-induced heating in tissue near bilateral DBS implants during MRI at 1.5 T and 3T: The role of surgical lead management. Neuroimage. 2019 Jan 1;184:566-76. Download Here

[21] Golestanirad L, Rahsepar AA, Kirsch JE, Suwa K, Collins JC, Angelone LM, Keil B, Passman RS, Bonmassar G, Serano P, Krenz P. Changes in the specific absorption rate (SAR) of radiofrequency energy in patients with retained cardiac leads during MRI at 1.5 T and 3T. Magnetic resonance in medicine. 2019 Jan;81(1):653-69. Download Here

[20] Golestanirad L, Gale JT, Manzoor NF, Park HJ, Glait L, Haer F, Kaltenbach JA, Bonmassar G. Solenoidal micromagnetic stimulation enables activation of axons with specific orientation. Frontiers in physiology. 2018 Jul 27;9:724. Download Here

[19] De Lara LI, Rad LG, Makarov SN, Stockmann J, Wald LL, Nummenmaa A. Simulations of a birdcage coil B 1+ field on a human body model for designing a 3T multichannel TMS/MRI head coil array. In2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2018 Jul 18 (pp. 4752-4755). IEEE. Download Here

[18] Bonmassar G, Golestanirad L, Deng J. Enhancing coil design for micromagnetic brain stimulation. MRS advances. 2018;3(29):1635-40. Download Here

[17] Bonmassar G, Golestanirad L. EM fields comparison between planar vs. solenoidal μMS coil designs for nerve stimulation. In2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2017 Jul 11 (pp. 3576-3579). IEEE. Download Here

[16] Golestanirad L, Angelone LM, Iacono MI, Katnani H, Wald LL, Bonmassar G. Local SAR near deep brain stimulation (DBS) electrodes at 64 and 127 MH z: A simulation study of the effect of extracranial loops. Magnetic resonance in medicine. 2017 Oct;78(4):1558-65. Download Here

[15] McElcheran CE, Yang B, Anderson KJ, Golestanirad L, Graham SJ. Parallel radiofrequency transmission at 3 tesla to improve safety in bilateral implanted wires in a heterogeneous model. Magnetic resonance in medicine. 2017 Dec;78(6):2406-15. Download Here

[14] Golestanirad L, Keil B, Angelone LM, Bonmassar G, Mareyam A, Wald LL. Feasibility of using linearly polarized rotating birdcage transmitters and close‐fitting receive arrays in MRI to reduce SAR in the vicinity of deep brain simulation implants. Magnetic resonance in medicine. 2017 Apr;77(4):1701-12. Download Here

[13] Golestanirad L, Iacono MI, Keil B, Angelone LM, Bonmassar G, Fox MD, Herrington T, Adalsteinsson E, LaPierre C, Mareyam A, Wald LL. Construction and modeling of a reconfigurable MRI coil for lowering SAR in patients with deep brain stimulation implants. Neuroimage. 2017 Feb 15;147:577-88. Download Here

[12] Golestanirad L, Graham SJ, inventors; Sunnybrook Research Institute, assignee. Electrode designs for efficient neural stimulation. United States patent US 9,526,890. 2016 Dec 27. Download Here

[11] Morrison MA, Tam F, Garavaglia MM, Golestanirad L, Hare GM, Cusimano MD, Schweizer TA, Das S, Graham SJ. A novel tablet computer platform for advanced language mapping during awake craniotomy procedures. Journal of neurosurgery. 2016 Apr 1;124(4):938-44. Download Here

[10] Golestanirad L, Elahi B, Graham SJ, Das S, Wald LL. Efficacy and safety of pedunculopontine nuclei (PPN) deep brain stimulation in the treatment of gait disorders: a meta-analysis of clinical studies. Canadian Journal of Neurological Sciences. 2016 Jan;43(1):120-6. Download Here

[9] Golestanirad L, Das S, Schweizer TA, Graham SJ. A preliminary fMRI study of a novel self-paced written fluency task: observation of left-hemispheric activation, and increased frontal activation in late vs. early task phases. Frontiers in Human Neuroscience. 2015 Mar 10;9:113. Download Here

[8] McElcheran CE, Yang B, Anderson KJ, Golenstani-Rad L, Graham SJ. Investigation of parallel radiofrequency transmission for the reduction of heating in long conductive leads in 3 Tesla magnetic resonance imaging. PLoS One. 2015 Aug 3;10(8):e0134379. Download Here

[7] Golestanirad L, Elahi B, Molina A, Mosig JR, Pollo C, Chen R, Graham SJ. Analysis of fractal electrodes for efficient neural stimulation. Frontiers in neuroengineering. 2013 Jul 12;6:3. Download Here

[6] Golestanirad L, Rouhani H, Elahi B, Shahim K, Chen R, Mosig JR, Pollo C, Graham SJ. Combined use of transcranial magnetic stimulation and metal electrode implants: a theoretical assessment of safety considerations. Physics in Medicine & Biology. 2012 Nov 8;57(23):7813. Download Here

[5] Golestanirad L, Dlala E, Wright G, Mosig JR, Graham SJ. Comprehensive analysis of Lenz effect on the artificial heart valves during magnetic resonance imaging. Progress in Electromagnetic Research-PIER. 2012;128(ARTICLE):1-7. Download Here

[4] Golestanirad L, Izquierdo AP, Graham SJ, Mosig JR, Pollo C. Effect of realistic modeling of deep brain stimulation on the prediction of volume of activated tissue. Progress In Electromagnetics Research. 2012;126:1-6. Download Here

[3] Golestanirad L, Mattes M, Mosig JR. Complete network characterisation of stratified planar circuits using the method of moments technique: an integrated approach to lumped and wave ports. IET microwaves, antennas & propagation. 2011 Jun 6;5(8):886-94. Download Here

[2] Golestanirad L, Mattes M, Mosig JR, Pollo C. Effect of model accuracy on the result of computed current densities in the simulation of transcranial magnetic stimulation. IEEE Transactions on Magnetics. 2010 Sep 30;46(12):4046-51. Download Here

[1] Golestanirad L, Mattes M, Mosig JR. On the application of symmetry conditions and the convergence rate of modal series in the MOM‐based integral equation analysis of laterally shielded multilayered media. Microwave and Optical Technology Letters. 2010 Jan;52(1):221-6. Download Here