Professor of Biomedical Engineering
Professor of Radiology and Radiological Sciences
Professor of Electrical Engineering
Director of Graduate Recruiting in Biomedical Engineering
Electrical and Computer Engineering
The Does lab is motivated by development, evaluation, and application of magnetic resonance imaging (MRI) methods for characterizing tissue microstructure, composition, and function. To this end, we develop novel MRI pulse sequences and analysis methods; evaluate and apply methods in studies of humans and small animal models of disease/injury/abnormal development; and develop and utilize statistical methods and computational models to predict and explain MRI contrast in tissues.
Model development and experimental evaluation of MRI methods for characterizing white matter microstructure and composition. MRI is a powerful research tool for studying neuronal microstructure in small animal models of human disease/injury. Appropriate acquisition and analysis methods can provide high resolution, 3D maps of, for example, myelin volume fraction, mean axon diameter, and fiber g-ratio. However, the utilization of many MRI methods has been limited by local availability of suitable expertise to design and implement the imaging protocols and a lack of independent validation studies. This project aims to develop, validate, standardize and share novel and state-of-the-art tools to permit MRI for routine use in the study of small animal neuronal microstructure.
Development and application of ultra-short echo (UTE) MRI
methods for evaluating bone fracture risk in patients with osteoporosis and
other conditions that result in bone fragility. Current methods for
diagnostic imaging of bone are incomplete and do not fully predict the increase
in bone fracture risk with age or advancement of disease. X-ray based imaging
is only sensitive to the mineral component of bone, but MRI can probe the soft-tissue
components of bone, which are important in fracture resistance. The current
project involves development and evaluation of novel UTE MRI methods that can
better predict bone fracture risk and provide more specific feedback on bone
compositional changes in response to therapy.
Method development and statistical evaluation of quantitative MRI parameter mapping. MRI can provide a wealth of different quantitative readouts of tissue, including measures of related to structure, function, and viability. However, quantitative MRI methods tend to be slow and prone to inaccuracy and/or low precision. This project aims to use classical information theory and computational models to evaluate and improve quantitative MRI methods, with the ultimate aim of establishing fast, clinically practical methods of quantitatively evaluating tissue.
K. L. West, N. D. Kelm, R. P. Carson, D. F. Gochberg, K. C. Ess, M. D. Does, Myelin Volume Fraction Imaging with MRI, Neuroimage, http://dx.doi.org/10.1016/j.neuroimage.2016.12.067
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 http://dx.doi.org/10.1148/radiol.2015140336
L. Lankford, M. D. Does, On the Inherent Precision of mcDESPOT, Magnetic
Resonance in Medicine, Vol 69(1): 127-136, 2013.
D. Harkins, A. N. Dula, M. D. Does, Effect of inter-compartmental water
exchange on the apparent myelin water fraction in multi-exponential T2
measurements of rat spinal cord, Magnetic Resonance in Medicine, Vol 67(3):
793-800, 2012 http://dx.doi.org/10.1002/mrm.23053
A. Horch, D. F. Gochberg, J S. Nyman, M. D. Does, Clinically-Compatible MRI
Strategies for Discriminating Bound and Pore Water in Cortical Bone, Magnetic
Resonance in Medicine, Vol 68(6): 1774-1784, 2012. Editor’s Pick for Dec 2012