David Samuel Smith, Ph.D.

Research Assistant Professor

Faculty Appointments
Research Assistant Professor of Radiology and Radiological Sciences
Ph.D., Astrophysics, University of Texas, Austin, TexasA.M., Astronomy, Harvard University, Cambridge, MassachusettsB.S., Physics and Astronomy, University of Texas, Austin, Texas
Research Description
David Smith, Ph.D., earned his B.S. in Physics and B.A. in Astronomy at The University of Texas at Austin before heading to Harvard University for an A.M. in Astronomy. He returned to UT-Austin to finish his Ph.D. in Astrophysics, where he was National Science Foundation Graduate Fellow and Harrington Doctoral Fellow. After doing postdoctoral research in plasma astrophysics at the University of Arizona for two years, Dr. Smith came to Vanderbilt as a medical physics resident in radiation oncology. In 2010, he became a Postdoctoral Research Fellow at the Vanderbilt University Institute of Imaging Science, and was appointed Research Assistant Professor in 2014. His research is focused new techniques and applications for MRI in cancer imaging, in particular mathematical methods such as compressed sensing and machine learning.

Section: Vanderbilt University Institute of Imaging Science
Sengupta S, Smith DS, Gifford A, Welch EB. Whole-body continuously moving table fat-water MRI with dynamic B0 shimming at 3 Tesla. Magn Reson Med [print-electronic]. 2016 Jul; 76(1): 183-90. PMID: 26198380, PMCID: PMC4775426, DOI: 10.1002/mrm.25848, ISSN: 1522-2594.

Sengupta S, Smith DS, Welch EB. Continuously moving table MRI with golden angle radial sampling. Magn Reson Med [print-electronic]. 2015 Dec; 74(6): 1690-7. PMID: 25461600, PMCID: PMC4452468, DOI: 10.1002/mrm.25531, ISSN: 1522-2594.

Smith DS, Li X, Arlinghaus LR, Yankeelov TE, Welch EB. DCEMRI.jl: a fast, validated, open source toolkit for dynamic contrast enhanced MRI analysis. PeerJ. 2015; 3: e909. PMID: 25922795, PMCID: PMC4411523, PII: 909, DOI: 10.7717/peerj.909, ISSN: 2167-8359.

Smith DS, Li X, Abramson RG, Quarles CC, Yankeelov TE, Welch EB. Potential of compressed sensing in quantitative MR imaging of cancer. Cancer Imaging. 2013; 13(4): 633-44. PMID: 24434808, PMCID: PMC3893904, DOI: 10.1102/1470-7330.2013.0041, ISSN: 1470-7330.