ABOUT

The Magnetic Resonance Systems Lab is a lab within the Electrical and Computer Engineering Department in the College of Engineering at Texas A&M University.   The lab trains students in MR engineering and methodology, and conducts research focused on RF aspects of MRI.  

CURRENT LAB MEMBERS

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Courtney Bauer

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Madavan Raja Viswanath

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Jue Hou (Ryan)

Graduate Research Assistant

Courtney Bauer is a PhD student in the Department of Electrical Engineering at Texas A&M University.  Courtney completed both her B.S. and M.S. in Electrical Engineering at Texas A&M University. Her interests focus around advancing accessible technology in the field of MRI, including system agnostic technologies and open source software, as well as development of portable, low-field systems. 

Graduate Student 

Madavan is currently a PhD Candidate in Electrical Engineering. He got his Bachelor of Technology in Electronics and Communication Engineering at Amrita Vishwa Vidyapeetham, Coimbatore, India in 2017 and completed an RF/MRI internship at Micro Systems Engineering, Inc. during the summer of 2018. His research interests are MR Field Mapping, RF Coils, and MR System Hardware.

Linkedin

Graduate Student

B.S. Electrical engineering, Northwest A&F University 2012.9 - 2016.7

M.S. Electrical engineering, Pennsylvania State University 2016.8 - 2018.7

 

Research interests:

 MRI hardware development, high-dielectric materials in MRI, numerical simulations for electromagnetic

Ben Malone

Graduate Student
Joining Fall 2022.

Jacob Ruff

Graduate Student
Joining Fall 2022.

Jacob Carroll

Undergraduate Student
 

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Steve Wright

Professor, lab director

Biosketch

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John Bosshard

Lecturer, ETID

John Bosshard is a Lecturer with the Department of Engineering Technology & Industrial Distribution at Texas A&M University. He also continues to work on several projects with the Magnetic Systems Laboratory, where he completed a Ph.D. degree under Professor Wright in 2012. His research interests include MR system hardware, gradient coils, RF coils, highly parallel imaging, MR elastography, and ultra high field imaging.