Vanderbilt University
Institute of Imaging Science

Mark D. Does, Ph.D.

Professor of Biomedical Engineering, Electrical Engineering, Radiology and Radiological Sciences
Director of the Center for Small Animal Imaging

Contact Information
(615) 322-8352


We are interested in developing and applying MRI methods to quantitatively characterize various properties and/or compositions of tissue. To this end we develop models of NMR relaxation and water diffusion in tissue, develop and optimize MRI pulse sequences and associated technology, and experimentally investigate in vivo and ex vivo tissue models.


Current projects include: i) characterizing myelin content and thickness in normal and injured neural tissues using multi-exponential transverse relaxation, magnetization transfer, water diffusion, and ultra-short T2 methods; ii) characterizing fracture properties of cortical bone through T2-discriminated measures of bone collagen, collagen-bound water, and porosity; iii) characterizing edema and muscle fiber condition in models of skeletal muscle injury and disease using T2 and water diffusion; iv) investigating the effects of inter-compartmental water exchange on MRI measures of neural tissue, muscle, and tumors using relaxation-based exchange spectroscopy and SPECT imaging.


K. L. West, N. D. Kelm, R. P. Carson, M. D. Does, A Revised Model for Estimating g-ratio from MRI, Neuroimage, Vol 125:1155-1158, 2016.

N. D. Kelm, K. L. West, R. P. Carson, D. F. Gochberg, K C. Ess, M D. Does, Evaluation of Diffusion Kurtosis Imaging in Hypomyelinated Mouse Models, Neuroimage, 124(Pt A):612-26., 2016.

M. K. Manhard, R. A. Horch, D. F. Gochberg J. S. Nyman, M. D. Does, In Vivo Magnetic Resonance Imaging of Bound and Pore Water in Cortical Bone, Radiology, Oct;277(1):221-9, 2015.

C. L. Lankford, R. D. Dortch, M. D. Does, Fast T2 Mapping with Multiple Echo, Caesar cipher Acquisition and Model-Based Reconstruction, Magnetic Resonance in Medicine, 73(3):1065-74, 2015.

K. D. Harkins, M. D. Does, W. A. Grissom, An iterative method for predistortion of gradient waveforms, IEEE Transactions on Medical Imaging, Vol 33(8):1641 - 1647, 2014.