RSL Researchers Earn Doctoral Degrees

Congratulations, you made it!

Mary Elizabeth Hall, PhD

May 25, 2021

Mary Elizabeth Hall, Department of Mechanical Engineering

Marc Levenston, Advisor

Contrast Agent Diffusion as a CT Arthrography Biomarker for Articular Cartilage Health

Christopher Sandino, PhD

May 13, 2021

Christopher Sandino, Department of Electrical Engineering

Shreyas Vasanawala,  Advisor

Accelerating pediatric magnetic resonance imaging using deep learning-based reconstruction

 

 

Lauren Watkins

April 29, 2021

Lauren Watkins, Department of Bioengineering

Marc Levenston, Feliks Kogan, Advisors

Imaging strategies for quantitative, whole-joint assessment ofstructure and function related to knee osteoarthritis

 

 


November, 2020

Steve Leung, Department of Bioengineering

Kim Butts Pauly, Advisor

Leveraging simulations to improve focused ultrasound brain treatments

July, 2020

Sarah Divel, Department of Electrical Engineering

Norbert Pelc, Advisor

The Validation and Optimization of CT Perfusion for Stroke Assessment

June, 2020

Steffi Perkins, Department of Bioengineering

Brian Hargreaves, Advisor

 A Mixed-Reality System for Breast Surgical Planning in the Operating Room: Magnetic Resonance Imaging Development and Initial Clinical Evaluation

May, 2020

Seul Lee, Department of Electrical Engineering

Gary Glover, Advisor

Functional MRI Characterization of Lesion-Induced Plasticity and Improved Acquisition Techniques

June, 2019

Marrianne Black, Department of Mechanical Engineering

Prof. Marc Levenston, Advisor

Co-Advisors: Profs. Brian Hargreaves and Garry Gold

Quantitative Imaging of Cartilage and Meniscus for Early Detection of Osteoarthritis

June, 2019

Keshav Datta, Department of Electrical Engineering

Daniel Spielman, Advisor

Novel techniques for metabolic imaging using hyperpolarized carbon-13 compounds

May, 2019

Feiyu Chen, Department of Electrical Engineering

John Pauly, Advisor

Fast Motion-Robust Magnetic Resonance Imaging

April, 2019

Grant Yang, Department of Electrical Engineering

Jennifer McNab, Advisor

Diffusion Encoding Waveform Design for Mapping Microstructure in the Human Brain

February, 2019

Picha Shunhavanich, Department of Bioengineering

Norbert J. Pelc, Advisor

Challenges in CT with photon counting detectors

January, 2019

Mihir Pendse, Department of Electrical Engineering

Brian Rutt, Advisor

Managing Local SAR and B1+ Inhomogeneity in Ultra High Field MRI Using Parallel Transmission