Volume 72, Issue 1 pp. 237-247
Full Paper

Bloch-based MRI system simulator considering realistic electromagnetic fields for calculation of signal, noise, and specific absorption rate

Zhipeng Cao

Zhipeng Cao

Department of Bioengineering, The Pennsylvania State University, Hershey, Pennsylvania, USA

Department of Radiology, The Pennsylvania State University, Hershey, Pennsylvania, USA

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Sukhoon Oh

Sukhoon Oh

Department of Radiology, New York University Medical Center, New York, New York, USA

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Christopher T. Sica

Christopher T. Sica

Department of Radiology, The Pennsylvania State University, Hershey, Pennsylvania, USA

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John M. McGarrity

John M. McGarrity

Department of Radiology, The Pennsylvania State University, Hershey, Pennsylvania, USA

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Timothy Horan

Timothy Horan

Department of Radiology, The Pennsylvania State University, Hershey, Pennsylvania, USA

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Wei Luo

Wei Luo

Department of Radiology, The Pennsylvania State University, Hershey, Pennsylvania, USA

Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, Hershey, Pennsylvania, USA

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Christopher M. Collins

Corresponding Author

Christopher M. Collins

Department of Radiology, New York University Medical Center, New York, New York, USA

Correspondence to: Christopher M. Collins, Ph.D., 660 First Ave., Fourth Floor, Room 403, New York, NY 10016. E-mail: [email protected]Search for more papers by this author
First published: 04 September 2013
Citations: 37

Abstract

Purpose

To describe and introduce new software capable of accurately simulating MR signal, noise, and specific absorption rate (SAR) given arbitrary sample, sequence, static magnetic field distribution, and radiofrequency magnetic and electric field distributions for each transmit and receive coil.

Theory and Methods

Using fundamental equations for nuclear precession and relaxation, signal reception, noise reception, and calculation of SAR, a versatile MR simulator was developed. The resulting simulator was tested with simulation of a variety of sequences demonstrating several common imaging contrast types and artifacts. The simulation of intravoxel dephasing and rephasing with both tracking of the first order derivatives of each magnetization vector and multiple magnetization vectors was examined to ensure adequate representation of the MR signal. A quantitative comparison of simulated and experimentally measured SNR was also performed.

Results

The simulator showed good agreement with our expectations, theory, and experiment.

Conclusion

With careful design, an MR simulator producing realistic signal, noise, and SAR for arbitrary sample, sequence, and fields has been created. It is hoped that this tool will be valuable in a wide variety of applications. Magn Reson Med 72:237–247, 2014. © 2013 Wiley Periodicals, Inc.

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