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Magnetic Resonance Imaging and Spectroscopy Section

Richard Spencer, Ph.D., M.D., Chief

Basic research includes spectroscopic and imaging studies of connective tissue biophysics (chondrocytes in culture, tissue engineered constructs, and native cartilage in explants and in vivo), spectroscopic studies of muscle metabolism under a variety of pharmacologic and physiologic conditions, and methodology development in imaging and spectroscopy.   Translational studies include investigation of brain metabolites, muscle bioenergetics, and cartilage biophysics.

Magnetic resonance instrumentation within the Section consists of a triple-resonance vertical wide-bore Bruker DMX 400 Avance system with microimaging and solids capability and a double-resonance Bruker 7T/30 cm DBX system.  In addition, we have full access to and extensively use the research-dedicated whole-body 3T Philips Achieva MRI system, equipped with homo- and heteronuclear spectroscopic capabilities, sited in our affiliated Laboratory of Clinical Investigation at Harbor Hospital.

Portfolio/Research Areas

  • Clinical Research
  • Computational Biology/Bioinformatics/Biostatistics/Mathematics
MRI Section personnel as of March 2017

Findings and Publications

Ashinsky, B.A., Coletta, C.E., Bouhrara M., Lukas, V.A., Boyle, J.M., Reiter, D.A., Neu, C.P., Goldberg, I.G., and Spencer, R.G. Machine learning classification of OARSI-scored human articular cartilage using magnetic resonance imaging. Osteoarthritis and Cartilage 23(10):704–1712, 2015.

Bouhrara M., Bonny, J.M., Ashinsky B.A., Maring M.C., and Spencer R.G. Noise estimation and reduction in magnetic resonance imaging using a new multispectral nonlocal maximum-likelihood filter. IEEE Transactions in Medical Imaging 36(1):181-193, 2016.

Bohrara M. and Spencer R. G. Rapid Simultaneous High-resolution Mapping of Myelin Water Fraction and Relaxation Times in Human Brain using BMC-mcDESPOT. NeuroImage 147:800-811, 2016.

Ashinsky B.G., Bouhrara M., Coletta C.E., Lehallier B., Urish K.L., Goldberg I.G., and Spencer R.G. Predicting early symptomatic osteoarthritis in the human knee using machine learning classification of magnetic resonance images from the Osteoarthritis Initiative. Journal of Orthopaedic Research, Jan 13. doi: 10.1002/jor.23519, 2017.

Cameron D., Bouhrara M., Reiter D.A., Fishbein K.W., Choi S., Bergeron C. M., Ferrucci L., and Spencer R.G. The Effect of Noise and Lipid Signals on Determination of Gaussian and Non-Gaussian Diffusion Parameters in Skeletal Muscle. NMR in Biomedicine Jul;30(7). doi: 10.1002/nbm.3718, 2017.
 

Full List of Publications for Richard Spencer

See the full list of publications for Richard Spencer.