James G. Miller, Ph.D.

Albert Gordon Hill Emeritus Professor
Internal Medicine
Biomedical Engineering

General Program

  • 314-935-6229

  • 314-935-6264

  • 314-935-5868

  • 169 Compton Laboratory

  • james.g.miller@wustl.edu

  • http://ultrasonics.physics.wustl.edu

  • Ultrasound, Bayesian, diabetes, echocardiography, myocardial ischemia, nonlinear, osteoporosis, ultrasound

  • Ultrasonic investigation of the viscoelastic properties of cardiovascular tissue and bone

Research Abstract:

The Laboratory for Ultrasonics within the Physics Department investigates the anisotropic elastic and viscoelastic properties of cardiovascular tissue and of bone. Experimental studies of hearts, arteries, and bones are carried out using ultrasonic techniques developed in our laboratories. Guided by our experimental data obtained from ultrasonic phase velocity, attenuation and scattering measurements, we develop and test models of the physical properties of tissue. We measure the components of the fourth-rank viscoelastic stiffness tensor as part of these investigations. Of particular interest is the role of specific proteins in determining the elastic and viscoelastic properties of tissue. One application of this research is the use of quantitative ultrasonic imaging (“tissue characterization”) to evaluate myocardium, as an extension of clinical echocardiography. Another application is the physics underpinning bone sonometry, a tool for understanding the progression and potential reversal of osteoporosis.

Selected Publications:

M.Milne, G.K.Singh, J.G.Miller, K.A.Wallace, M.R.Hollad, “Toward 3-D Echocardiographic Determination of Regional Myofiber Structure”, Ultrasound Med.Biol. 42, 607-18 (2016)

Groopman AM, Katz
 JI, Holland MR, Fujita F, Matsukawa M, 
 Mizuno K
, Wear KA, Miller JG. “Conventional, Bayesian, and Modified Prony’s methods 
for characterizing fast and slow waves in equine cancellous bone.”J.Acoust.Soc.Am. 2015; 138:594–604.

Pellikka PA, Douglas PS, Miller JG, et al. “American Society of Echocardiography Cardiovascular Technology and Research Summit: A Roadmap for 2020.” J Am Soc Echocardiogr 26, 325‐338. (2013)

Milne ML, Singh GK, Miller JG, and Holland MR, “Echocardiographic‐Based Assessment of Myocardial Fiber Structure in Individual, Excised Hearts.” Ultrasonic Imaging, 34, 129‐141 (2012)

Hoffman JJ, Nelson AM, Holland MR, and Miller JG. “Cancellous bone fast and slow waves obtained with Bayesian probability theory correlate with porosity from computer tomography.” J Acoust Soc Am 132, 1830‐1837 (2012)

Katz JI, Hoffman JJ, Conradi MS, and Miller JG. “Effective‐medium theory of elastic waves in random networks of rods.” Phys Rev E 85, 061923 (2012)

Anderson CC, Gibson AA, Schaffer JE, Peterson LR, Holland MR, Miller JG. “Bayesian parameter estimation for characterizing the cyclic variation of echocardiographic backscatter to assess the hearts of asymptomatic type 2 diabetes mellitus subjects. Ultrasound Med Biol. 2011 37(5): p. 805-812. PMC-ID#:3078972

Hoffman JJ, Johnson BL, Holland MR, Fedewa RJ, Nair A, Miller JG. Layer-dependent variation in the anisotropy of apparent integrated backscatter from human coronary arteries. Ultrasound Med Biol. 2011 37(4): p. 632-641. PMC-ID#:3063363

Lloyd CW, Shmuylovich L, Holland MR, Miller JG and Kovacs SJ. The Diastolic Function to Cyclic Variation of Myocardial Ultrasonic Backscatter Relation: The Influence of Parameterized Diastolic Filling (Pdf) Formalism Determined Chamber Properties. Ultrasound Med Biol 2011 37(8): p. 1185-1195. PMC-ID#:3129365

Lloyd CW, Holland MR and Miller JG. Improving the Reproducibility of the Cyclic Variation of Myocardial Backscatter. Ultrasonic Imaging 2010 32(4): p. 243-254.

Holland MR, Gibson AA, Bauer AQ, Peterson LR, Schaffer JE, Bach RG, Cresci S, and Miller JG, “Echocardiographic Tissue Characterization Demonstrates Differences in the Left and Right Sides of the Ventricular Septum”, Ultrasound Med Biol., 36(10): pp. 1653-61; (2010) PMID: 20800946

Last Updated: 8/25/2016 12:04:50 PM

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