Dynamic elastography methods attempt to quantitatively map soft tissue viscoelastic properties. Application to the fingertip, relevant to medical diagnostics and to improving tactile interfaces, is a novel and challenging application, given the small target size. In this feasibility study, an annular actuator placed on the surface of the fingertip and driven harmonically at multiple frequencies sequentially creates geometrically focused surface (GFS) waves. These surface wave propagation patterns are measured using scanning laser Doppler vibrometry. Reconstruction (the inverse problem) is performed in order to estimate fingertip soft tissue viscoelastic properties. The study identifies limitations of an analytical approach and introduces an optimization approach that utilizes a finite element (FE) model. Measurement at multiple frequencies reveals limitations of an assumption of homogeneity of material properties. Identified shear viscoelastic properties increase significantly as frequency increases and the depth of penetration of the surface wave is reduced, indicating that the fingertip is significantly stiffer near its surface.
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August 2018
Research-Article
Finite Element Based Optimization of Human Fingertip Optical Elastography
Altaf A. Khan,
Altaf A. Khan
Department of Mechanical and
Industrial Engineering,
University of Illinois at Chicago,
842 W. Taylor Street MC 251,
Chicago, IL 60607-7052
e-mail: akhan49@uic.edu
Industrial Engineering,
University of Illinois at Chicago,
842 W. Taylor Street MC 251,
Chicago, IL 60607-7052
e-mail: akhan49@uic.edu
Search for other works by this author on:
Steven P. Kearney,
Steven P. Kearney
Department of Mechanical and
Industrial Engineering,
University of Illinois at Chicago,
842 W. Taylor Street MC 251,
Chicago, IL 60607-7052;
Industrial Engineering,
University of Illinois at Chicago,
842 W. Taylor Street MC 251,
Chicago, IL 60607-7052;
Advanced Photon Source,
Argonne National Laboratory,
9700 S Cass Avenue,
Argonne, IL 60439
Argonne National Laboratory,
9700 S Cass Avenue,
Argonne, IL 60439
Search for other works by this author on:
Thomas J. Royston
Thomas J. Royston
Richard and Loan Hill Department of
Bioengineering,
University of Illinois at Chicago,
851 South Morgan Street MC 063,
Chicago, IL 60607-7072
Bioengineering,
University of Illinois at Chicago,
851 South Morgan Street MC 063,
Chicago, IL 60607-7072
Search for other works by this author on:
Altaf A. Khan
Department of Mechanical and
Industrial Engineering,
University of Illinois at Chicago,
842 W. Taylor Street MC 251,
Chicago, IL 60607-7052
e-mail: akhan49@uic.edu
Industrial Engineering,
University of Illinois at Chicago,
842 W. Taylor Street MC 251,
Chicago, IL 60607-7052
e-mail: akhan49@uic.edu
Steven P. Kearney
Department of Mechanical and
Industrial Engineering,
University of Illinois at Chicago,
842 W. Taylor Street MC 251,
Chicago, IL 60607-7052;
Industrial Engineering,
University of Illinois at Chicago,
842 W. Taylor Street MC 251,
Chicago, IL 60607-7052;
Advanced Photon Source,
Argonne National Laboratory,
9700 S Cass Avenue,
Argonne, IL 60439
Argonne National Laboratory,
9700 S Cass Avenue,
Argonne, IL 60439
Thomas J. Royston
Richard and Loan Hill Department of
Bioengineering,
University of Illinois at Chicago,
851 South Morgan Street MC 063,
Chicago, IL 60607-7072
Bioengineering,
University of Illinois at Chicago,
851 South Morgan Street MC 063,
Chicago, IL 60607-7072
Manuscript received January 26, 2018; final manuscript received May 3, 2018; published online June 5, 2018. Editor: Ahmed Al-Jumaily.
ASME J of Medical Diagnostics. Aug 2018, 1(3): 031007 (8 pages)
Published Online: June 5, 2018
Article history
Received:
January 26, 2018
Revised:
May 3, 2018
Citation
Khan, A. A., Kearney, S. P., and Royston, T. J. (June 5, 2018). "Finite Element Based Optimization of Human Fingertip Optical Elastography." ASME. ASME J of Medical Diagnostics. August 2018; 1(3): 031007. https://doi.org/10.1115/1.4040199
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