About
Biography
My research interests include developing new acquisition and reconstruction techniques for magnetic resonance imaging (MRI). Specifically, I focus on quantitative imaging and accelerated imaging, with applications in musculoskeletal (MSK) and brain MRI.
Obtaining an MRI is a slow process. It can be difficult for patients to lie still, especially young children. It can also be an uncomfortable and anxiety-producing experience for some patients. I look at ways to accelerate MRI acquisitions and efficiently encode data to collect multiple image contrasts very quickly. MRI contrast is relative, and I work on using quantitative imaging so that images are robust and repeatable. With these techniques, I’m interested in translatable research resulting in robust methods that can be applied in the clinic, directly improving the care and outcomes for patients.
I am a member of the International Society of Magnetic Resonance in Medicine and received the National Institutes of Health (NIH) F32 Ruth L. Kirschstein Postdoctoral Fellowship Award (2018-2020). I have been a researcher for nearly ten years, and I began my work at Cincinnati Children’s in 2020.
BS: Electrical Engineering, Clemson University, Clemson, SC.
MS, PhD: Biomedical Engineering, Vanderbilt University, Nashville, TN.
Postdoc: A. A. Martinos Center for Biomedical Imaging, Mass General Hospital, Harvard Medical School, Boston, MA.
Services and Specialties
Radiology and Medical Imaging
Interests
Neuroimaging; MSK imaging; quantitative MRI; accelerated imaging
Research Areas
Radiology, Imaging
Publications
Quantifying brain development in the HEALthy Brain and Child Development (HBCD) Study: The magnetic resonance imaging and spectroscopy protocol. Developmental Cognitive Neuroscience. 2024; 70:101452.
Impact of Emerging Deep Learning-Based MR Image Reconstruction Algorithms on Abdominal MRI Radiomic Features. Journal of Computer Assisted Tomography: a radiological journal dedicated to the basic and clinical aspects of reconstructive tomography. 2024; 48:955-962.
Time-efficient, high-resolution 3T whole-brain relaxometry using 3D-QALAS with wave-CAIPI readouts. Magnetic Resonance in Medicine. 2024; 91:630-639.
Toward the use of MRI measurements of bound and pore water in fracture risk assessment. Bone. 2023; 176:116863.
Liver T1 Relaxation Quantification Using a 3-Dimensional Interleaved Look-Locker Acquisition With T2 Preparation Pulse Sequence (3D-QALAS): Comparison With Conventional 2-Dimensional MOLLI. Journal of Computer Assisted Tomography: a radiological journal dedicated to the basic and clinical aspects of reconstructive tomography. 2023; 47:350-354.
Change in T2* measurements of placenta and fetal organs during Braxton Hicks contractions. Placenta. 2022; 128:69-71.
Distortion-free, high-isotropic-resolution diffusion MRI with gSlider BUDA-EPI and multicoil dynamic B0 shimming. Magnetic Resonance in Medicine. 2021; 86:791-803.
A multi-inversion multi-echo spin and gradient echo echo planar imaging sequence with low image distortion for rapid quantitative parameter mapping and synthetic image contrasts. Magnetic Resonance in Medicine. 2021; 86:866-880.
Heterogeneity of Tau Deposition and Microvascular Involvement in MCI and AD. Current Alzheimer Research. 2021; 18:711-720.
Diffusion-PEPTIDE: Distortion- and blurring-free diffusion imaging with self-navigated motion-correction and relaxometry capabilities. Magnetic Resonance in Medicine. 2021; 85:2417-2433.
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