Grants per year
Personal profile
Research Interests
- Computational electromagnetics in magnetic resonance imaging
- Computational modeling of electric and magnetic brain stimulation techniques
- Deep brain stimulation neuroimaging
- Neural engineering
Education/Academic qualification
Electrical Engineering, PhD, Swiss Federal Institute of Technology
Electrical Engineering, MSc, University of Tehran
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Collaborations and top research areas from the last five years
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Assessing RF heating of active implantable medical devices in low-field MRI systems
Golestani Rad, L. (PD/PI), Bhusal, B. S. (Co-Investigator) & Hong, K. (Co-Investigator)
National Institute of Biomedical Imaging and Bioengineering
8/6/24 → 4/30/28
Project: Research project
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Safe and Effective MRI for Pediatric Patients with a Cardiac Implantable Electronic Device
Golestani Rad, L. (PD/PI), Kim, D. (PD/PI) & Markl, M. (Co-Investigator)
National Heart, Lung, and Blood Institute
3/1/24 → 2/29/28
Project: Research project
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Charge-Based Brain Modeling Engine with Boundary Element Fast Multipole Methold
Golestani Rad, L. (PD/PI)
Worcester Polytechnic Institute, National Institute of Mental Health
7/19/23 → 5/31/28
Project: Research project
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Novel MRI coil technology for safe imaging of children with implants
Golestani Rad, L. (PD/PI), Golestani Rad, L. (PD/PI) & Shaibani, A. (Co-Investigator)
National Institute of Biomedical Imaging and Bioengineering
5/1/23 → 3/31/26
Project: Research project
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Assessing RF heating of active implantable medical devices in low-field MRI system
Golestani Rad, L. (PD/PI), Golestani Rad, L. (PD/PI) & Golestani Rad, L. (PD/PI)
National Institute of Biomedical Imaging and Bioengineering
9/23/22 → 6/30/25
Project: Research project
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Adaptable MRI Coils for Enhanced Deep Brain Stimulation Imaging: A Bioengineer's Guide from Concept to Clinic
Rad, L. G., 2024, International Conference on Electromagnetics in Advanced Applications and IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, ICEAA-IEEE APWC 2024. 2024 ed. Institute of Electrical and Electronics Engineers Inc., p. 451 1 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A deep brain stimulation–conditioned RF coil for 3T MRI
Kutscha, N., Mahmutovic, M., Bhusal, B., Vu, J., Chemlali, C., Hansen, S. L. J. D., May, M. W., Knake, S., Golestanirad, L. & Keil, B., Mar 2025, In: Magnetic resonance in medicine. 93, 3, p. 1411-1426 16 p.Research output: Contribution to journal › Article › peer-review
Open Access -
An open-source user interface for real-time ultra-fast solving of electric fields around segmented deep brain stimulation electrodes
Henry, K. R., Ingersoll, M., Wartman, W., Jiang, F., Tang, D., Golestanirad, L. & Makaroff, S. N., Nov 1 2024, In: Brain Stimulation. 17, 6, p. 1279-1282 4 p.Research output: Contribution to journal › Letter › peer-review
Open Access -
Aortic velocity measurements derived from phase-contrast MRI are influenced by a cardiac implantable electronic device in both adult and pediatric human subjects
Yang, H., Aboyewa, O. B., Webster, G., Shah, D., Golestanirad, L., Baraboo, J. J., Markl, M., Collins, J. D., Knight, B. P., Hong, K. P., Patel, A. R., Lee, D. C. & Kim, D., 2024, (Accepted/In press) In: Magnetic resonance in medicine.Research output: Contribution to journal › Article › peer-review
Open Access -
A Resistive Tapered Cylindrical Conductor Can Substantially Reduce RF Heating of Implanted Leads During MRI: A Simulation Study of Helical Wire Structures
Zaidi, T., Marturano, F., Bonmassar, G. & Golestanirad, L., 2024, 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Datasets
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Supplementary Material for: Variations in determining actual orientations of segmented deep brain stimulation leads using the DiODe algorithm: a retrospective study across different lead designs and medical institutions
Henry, K. R. (Contributor), Miulli, M. M. (Contributor), Nuzov, N. B. (Contributor), Nolt, M. J. (Contributor), Rosenow, J. M. (Contributor), Elahi, B. (Contributor), Pilitsis, J. (Contributor) & Golestanirad, L. (Contributor), Karger Publishers, 2023
DOI: 10.6084/m9.figshare.24105426, https://karger.figshare.com/articles/dataset/Supplementary_Material_for_Variations_in_determining_actual_orientations_of_segmented_deep_brain_stimulation_leads_using_the_DiODe_algorithm_a_retrospective_study_across_different_lead_designs_and_medical_institutions/24105426
Dataset
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Supplementary Material for: Artifacts Can Be Deceiving: The Actual Location of Deep Brain Stimulation Electrodes Differs from the Artifact Seen on Magnetic Resonance Images
Nuzov, N. B. (Contributor), Bhusal, B. (Contributor), Henry, K. R. (Contributor), Jiang, F. (Contributor), Vu, J. (Contributor), Rosenow, J. M. (Contributor), Pilitsis, J. G. (Contributor), Elahi, B. (Contributor) & Golestanirad, L. (Contributor), Karger Publishers, 2022
DOI: 10.6084/m9.figshare.21739703.v1, https://karger.figshare.com/articles/dataset/Supplementary_Material_for_Artifacts_Can_Be_Deceiving_The_Actual_Location_of_Deep_Brain_Stimulation_Electrodes_Differs_from_the_Artifact_Seen_on_Magnetic_Resonance_Images/21739703/1
Dataset