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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Charge-Based Brain Modeling Engine with Boundary Element Fast Multipole Methold
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. & Shaibani, A.
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. & Golestani Rad, L.
National Institute of Biomedical Imaging and Bioengineering
9/23/22 → 6/30/24
Project: Research project
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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 Access -
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
1 Scopus citations -
Artifacts Can Be Deceiving: The Actual Location of Deep Brain Stimulation Electrodes Differs from the Artifact Seen on Magnetic Resonance Images
Nuzov, N. B., Bhusal, B., Henry, K. R., Jiang, F., Vu, J., Rosenow, J. M., Pilitsis, J. G., Elahi, B. & Golestanirad, L., Feb 1 2023, In: Stereotactic and Functional Neurosurgery. 101, 1, p. 47-59 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
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
Kazemivalipour, E., Sadeghi-Tarakameh, A., Keil, B., Eryaman, Y., Atalar, E. & Golestanirad, L., Jan 2023, In: PloS one. 18, 1 January, e0280655.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
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
Jiang, F., Bhusal, B., Nguyen, B., Monge, M., Webster, G., Kim, D., Bonmassar, G., Popsecu, A. R. & Golestanirad, L., Dec 2023, In: Magnetic resonance in medicine. 90, 6, p. 2510-2523 14 p.Research output: Contribution to journal › Article › peer-review
Open Access
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) & Golestani Rad, L. (Contributor), Karger Publishers, 2023
DOI: 10.6084/m9.figshare.24105426.v1, 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/24105426/1
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. S. (Contributor), Henry, K. R. (Contributor), Jiang, F. (Contributor), Vu, J. (Contributor), Rosenow, J. M. (Contributor), Pilitsis, J. G. (Contributor), Elahi, B. (Contributor) & Golestani Rad, 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