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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Dive into the research topics where Laleh Golestani Rad is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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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)
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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Effect of surgical modification of deep brain stimulation lead trajectories on radiofrequency heating during MRI at 3T: from phantom experiments to clinical implementation
Vu, J., Bhusal, B., Rosenow, J. M., Pilitsis, J. & Golestanirad, L., May 2024, In: Journal of neurosurgery. 140, 5, p. 1459-1470 12 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Wideband magnetic resonance sequencing to decrease image artifact in a child with a cardiac implantable device
Desai, L., Popescu, A., Golestanirad, L., Webster, G. & Kim, D., Apr 2024, In: HeartRhythm Case Reports. 10, 4, p. 292-296 5 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Age Matters: A Comparative Study of RF Heating of Epicardial and Endocardial Electronic Devices in Pediatric and Adult Phantoms during Cardiothoracic MRI
Jiang, F., Henry, K. R., Bhusal, B., Sanpitak, P., Webster, G., Popescu, A., Laternser, C., Kim, D. & Golestanirad, L., Sep 2023, In: Diagnostics. 13, 17, 2847.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
A new metamaterial for MRI-safe deep brain stimulation leads
Marturano, F., Golestanirad, L. & Bonmassar, G., 2023, 2023 International Conference on Electromagnetics in Advanced Applications, ICEAA 2023. Institute of Electrical and Electronics Engineers Inc., p. 407 1 p. (2023 International Conference on Electromagnetics in Advanced Applications, ICEAA 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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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
Chen, X., Zheng, C. & Golestanirad, L., Apr 2023, In: Journal of Magnetic Resonance. 349, 107384.Research output: Contribution to journal › Article › peer-review
2 Scopus citations
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