Chad Quarles, PhD, earned his undergraduate degree in biophysics at Centenary College of Louisiana in 1999 and his doctorate in biophysics at the Medical College of Wisconsin in 2004. He completed a postdoctoral fellowship in cancer imaging at Vanderbilt University Medical Center in 2006. Dr. Quarles stayed at Vanderbilt and attained the academic rank of associate professor in the Department of Radiology and the Vanderbilt University Institute of Imaging Science. He joined the faculty at Barrow in 2015.
Dr. Quarles’s research focuses on the development and application of multimodality imaging methods for improved disease characterization. He has a particular interest in leveraging all aspects of imaging science, including image acquisition and formation, contrast mechanisms, and image analysis, to discover novel imaging metrics and expand the clinical utility of bioimaging techniques.
When applied to brain cancer imaging, this philosophy has yielded more robust pulse sequences and postprocessing strategies for clinical perfusion imaging, a more comprehensive characterization of contrast agent induced susceptibility effects, and the new MR-based cytographic imaging technique.
Dr. Quarles’s research has been continuously funded through multiple grants from the National Institutes of Health and the Department of Defense. At the national level, he is involved with initiatives (e.g. the Quantitative Imaging Network, the Quantitative Imaging Biomarkers Alliance, and the National Brain Tumor Society) that aim to standardize brain cancer imaging acquisition and analysis methods for clinical trials.
- Postdoctoral Fellowship, Vanderbilt University Institute of Imaging Science
- PhD, Medical College of Wisconsin, Biophysics, 2004
- BS, Centenary College of Louisiana, Biophysics, 1999
- International Society of Magnetic Resonance in Medicine
- Society of Nuclear Medicine and Molecular Imaging
- Stokes AM, Semmineh N, Quarles CC. Validation of a T1 and T2* leakage correction method based on multiecho dynamic susceptibility contrast MRI using MION as a reference standard. Magn Reson Med. 2016;76(2):613-625.
- Stokes AM, Quarles CC. A simplified spin and gradient echo approach for brain tumor perfusion imaging. Magn Reson Med. 2016;75(1):356-362.
- Skinner JT, Moots PL, Ayers GD, Quarles CC. On the Use of DSC-MRI for Measuring Vascular Permeability. AJNR Am J Neuroradiol. 2016;37(1):80-87.
- Semmineh NB, Xu J, Skinner JT, Xie J, Li H, Ayers G, Quarles CC. Assessing tumor cytoarchitecture using multiecho DSC-MRI derived measures of the transverse relaxivity at tracer equilibrium (TRATE). Magn Reson Med. 2015;74(3):772-784.
- Stokes AM, Skinner JT, Quarles CC. Assessment of a combined spin- and gradient-echo (SAGE) DSC-MRI method for preclinical neuroimaging. Magn Reson Imaging. 2014;32(10):1181-1190.
- Skinner JT, Robison RK, Elder CP, Newton AT, Damon BM, Quarles CC. Evaluation of a multiple spin- and gradient-echo (SAGE) EPI acquisition with SENSE acceleration: applications for perfusion imaging in and outside the brain. Magn Reson Imaging. 2014;32(10):1171-1180.
- Semmineh NB, Xu J, Boxerman JL, Delaney GW, Cleary PW, Gore JC, Quarles CC. An efficient computational approach to characterize DSC-MRI signals arising from three-dimensional heterogeneous tissue structures. PLoS One. 2014;9(1):e84764.
- Mistry N, Stokes AM, Gambrell JV, Quarles CC. Nitrite induces the extravasation of iron oxide nanoparticles in hypoxic tumor tissue. NMR Biomed. 2014;27(4):425-430.
- Quarles CC, Gore JC, Xu L, Yankeelov TE. Comparison of dual-echo DSC-MRI- and DCE-MRI-derived contrast agent kinetic parameters. Magn Reson Imaging. 2012;30(7):944-953.
- Quarles CC, Gochberg DF, Gore JC, Yankeelov TE. A theoretical framework to model DSC-MRI data acquired in the presence of contrast agent extravasation. Phys Med Biol. 2009;54(19):5749-5766.