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Junzhong Xu, Ph.D.

  • Assistant Professor of Radiology and Radiological Sciences
  • Assistant Professor of Biomedical Engineering

Phone

615-343-4794

Email

junzhong.xu@Vanderbilt.Edu
Vanderbilt University Institute of Imaging Science
AA1105B Medical Center North
1161 21st Ave South
Nashville, TN 37232-2310

Junzhong Xu, Ph.D.

  • Assistant Professor of Radiology and Radiological Sciences
  • Assistant Professor of Biomedical Engineering

615-343-4794

junzhong.xu@Vanderbilt.Edu

Vanderbilt University Institute of Imaging Science
AA1105B Medical Center North
1161 21st Ave South
Nashville, TN 37232-2310

Profile

Dr. Xu's research focuses on (1) the development, validation, and implementation of advanced medical imaging methods for the characterization of human tumors; and (2) the evaluation of the role of advanced imaging methods as potential surrogate biomarkers to monitor tumor early therapeutic responses for better treatment efficacy.

Education

  • Ph.D., Physics, Vanderbilt University, Nashville, Tennessee
  • M.S., Physics, Vanderbilt University, Nashville, Tennessee
  • B.S., University of Science & Technology of China, Beijing, China

Research Emphasis

Research Description

Junzhong Xu, Ph.D., earned a B.S. in Physics and a M.S. in Optics from the University of Science and Technology in China, and he earned a Ph.D. in Physics from Vanderbilt University. Prior to joining the Vanderbilt faculty in 2011 as Instructor, Dr. Xu was a Research Fellow at Vanderbilt University. He was appointed as a Research Assistant Professor in 2013, and then a tenure-track Assistant Professor in 2015. He is a member of the International Society for Magnetic Resonance in Medicine and the American Association for Cancer Research.

His current research projects are focused on the development, validation, optimization, and evaluation of advanced quantitative MRI methods in various applications such as neurodegenerative diseases and cancer. The specific projects include 1) non-invasive characterization of neural microstructure such as axonal volume fraction and diffusivity to help the diagnosis and track the natural course of multiple sclerosis; 2) non-invasive measurement of mean cancer cell size and density of tumors to better characterize tumor status and monitor tumor early treatment response to neoadjuvant therapy; and 3) investigation of the sensitivity and specificity of diffusion, qMT and CEST MRI methods on specific biological tissue pathophysiological status with mathematical modeling, computing simulation, ex vivo and in vivo models.

Section: Vanderbilt University Institute of Imaging Science

Publications

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