Modeling Endovascular MRI Coil Coupling With Transmit RF Excitation

Madhav Venkateswaran; Orhan Unal; Samuel Hurley; Alexey Samsonov; Peng Wang; Sean B Fain; Krishna N Kurpad

doi:10.1109/TBME.2016.2538279

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Modeling Endovascular MRI Coil Coupling With Transmit RF Excitation

Journal article

Peer reviewed

Modeling Endovascular MRI Coil Coupling With Transmit RF Excitation

Madhav Venkateswaran, Orhan Unal, Samuel Hurley, Alexey Samsonov, Peng Wang, Sean B Fain and Krishna N Kurpad

IEEE transactions on biomedical engineering, Vol.64(1), pp.70-77

01/2017

DOI: 10.1109/TBME.2016.2538279

PMCID: PMC5011021

PMID: 26960218

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https://www.ncbi.nlm.nih.gov/pmc/articles/5011021View

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Abstract

Objective: To model inductive coupling of endovascular coils with transmit RF excitation for selecting coils for MRI-guided interventions. Methods: Independent and computationally efficient FEM models are developed for the endovascular coil, cable, transmit excitation, and imaging domain. Electromagnetic and circuit solvers are coupled to simulate net B1 + fields and induced currents and voltages. Our models are validated using the Bloch-Siegert B1 + mapping sequence for a series-tuned multimode coil, capable of tracking, wireless visualization, and high-resolution endovascular imaging. Results: Validation shows good agreement at 24-, 28-, and 34-μT background RF excitation within experimental limitations. Quantitative coil performance metrics agree with simulation. A parametric study demonstrates tradeoff in coil performance metrics when varying number of coil turns. Tracking, imaging, and wireless marker multimode coil features and their integration is demonstrated in a pig study. Conclusion: Developed models for the multimode coil were successfully validated. Modeling for geometric optimization and coil selection serves as a precursor to time consuming and expensive experiments. Specific applications demonstrated include parametric optimization, coil selection for a cardiac intervention, and an animal imaging experiment. Significance: Our modular, adaptable, and computationally efficient modeling approach enables rapid comparison, selection, and optimization of inductively coupled coils for MRI-guided interventions.

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Coils

Computational modeling

endovascular MRI coils

FEM simulation

Finite element analysis

Integrated circuit modeling

Magnetic resonance imaging

MRI coil coupling

Radio frequency

wirelessly coupled coils

Details

Title: Subtitle: Modeling Endovascular MRI Coil Coupling With Transmit RF Excitation
Creators: Madhav Venkateswaran - Department of Electrical and Computer EngineeringUniversity of Wisconsin-MadisonGE Healthcare
Orhan Unal - University of Wisconsin–Madison
Samuel Hurley - University of Oxford
Alexey Samsonov - University of Wisconsin–Madison
Peng Wang - University of Wisconsin–Madison
Sean B Fain - University of Wisconsin–Madison
Krishna N Kurpad - Biotronik (Germany)
Resource Type: Journal article
Publication Details: IEEE transactions on biomedical engineering, Vol.64(1), pp.70-77
DOI: 10.1109/TBME.2016.2538279
PMID: 26960218
PMCID: PMC5011021
NLM abbreviation: IEEE Trans Biomed Eng
ISSN: 0018-9294
eISSN: 1558-2531
Publisher: IEEE
Grant note: UW Madison's Robert Draper Technology Innovation Fund R01HL086975; R01NS065034 / NIH (10.13039/100000002)
Language: English
Date published: 01/2017
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Health, Sport, and Human Physiology
Record Identifier: 9984275052602771

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