Cancerous tissues are known to possess different poroelastic properties with respect to normal tissues. Interstitial permeability is one of these properties, and it has been shown to be of diagnostic relevance for the detection of soft tissue cancers and for assessment of their treatment. In some cases, interstitial permeability of cancers has been reported to be lower than the surrounding tissue, while in other cases interstitial permeability of cancers has been reported to be higher than the surrounding tissue. We have previously reported an analytical model of a cylindrical tumor embedded in a more permeable background. In this paper, we present and analyze a poroelastic mathematical model of a tumor tissue in cylindrical coordinate system, where the permeability of the tumor tissue is assumed to be higher than the surrounding normal tissue. A full set of analytical expressions are obtained for radial displacement, strain, and fluid pressure under stress relaxation testing conditions. The results obtained with the proposed analytical model are compared with corresponding finite element analysis results for a broad range of mechanical parameters of the tumor. The results indicate that the proposed model is accurate and closely resembles the finite element analysis. The availability of this model and its solutions can be helpful for ultrasound elastography applications such as for extracting the mechanical parameters of the tumor and normal tissue and, in general, to study the impact of poroelastic material properties in the assessment of tumors.
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August 2018
Research-Article
An Analytical Model of Tumors With Higher Permeability Than Surrounding Tissues for Ultrasound Elastography Imaging
Md Tauhidul Islam,
Md Tauhidul Islam
Ultrasound and Elasticity Imaging Laboratory,
Department of Electrical and
Computer Engineering,
Texas A&M University,
College Station, TX 77840
e-mail: tauhid@tamu.edu
Department of Electrical and
Computer Engineering,
Texas A&M University,
College Station, TX 77840
e-mail: tauhid@tamu.edu
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Anuj Chaudhry,
Anuj Chaudhry
Ultrasound and Elasticity Imaging Laboratory,
Department of Electrical and
Computer Engineering,
Texas A&M University,
College Station, TX 77840
e-mail: anuj.chaudhry@tamu.edu
Department of Electrical and
Computer Engineering,
Texas A&M University,
College Station, TX 77840
e-mail: anuj.chaudhry@tamu.edu
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Ginu Unnikrishnan,
Ginu Unnikrishnan
Department of Mechanical Engineering,
Texas A&M University,
College Station, TX 77840
e-mail: ginuuk@gmail.com
Texas A&M University,
College Station, TX 77840
e-mail: ginuuk@gmail.com
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J. N. Reddy,
J. N. Reddy
Department of Mechanical Engineering,
Texas A&M University,
College Station, TX 77840
e-mail: jnreddy@tamu.edu
Texas A&M University,
College Station, TX 77840
e-mail: jnreddy@tamu.edu
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Raffaella Righetti
Raffaella Righetti
Department of Electrical and
Computer Engineering,
Texas A&M University,
College Station, TX 77840
e-mail: righetti@ece.tamu.edu
Computer Engineering,
Texas A&M University,
College Station, TX 77840
e-mail: righetti@ece.tamu.edu
Search for other works by this author on:
Md Tauhidul Islam
Ultrasound and Elasticity Imaging Laboratory,
Department of Electrical and
Computer Engineering,
Texas A&M University,
College Station, TX 77840
e-mail: tauhid@tamu.edu
Department of Electrical and
Computer Engineering,
Texas A&M University,
College Station, TX 77840
e-mail: tauhid@tamu.edu
Anuj Chaudhry
Ultrasound and Elasticity Imaging Laboratory,
Department of Electrical and
Computer Engineering,
Texas A&M University,
College Station, TX 77840
e-mail: anuj.chaudhry@tamu.edu
Department of Electrical and
Computer Engineering,
Texas A&M University,
College Station, TX 77840
e-mail: anuj.chaudhry@tamu.edu
Ginu Unnikrishnan
Department of Mechanical Engineering,
Texas A&M University,
College Station, TX 77840
e-mail: ginuuk@gmail.com
Texas A&M University,
College Station, TX 77840
e-mail: ginuuk@gmail.com
J. N. Reddy
Department of Mechanical Engineering,
Texas A&M University,
College Station, TX 77840
e-mail: jnreddy@tamu.edu
Texas A&M University,
College Station, TX 77840
e-mail: jnreddy@tamu.edu
Raffaella Righetti
Department of Electrical and
Computer Engineering,
Texas A&M University,
College Station, TX 77840
e-mail: righetti@ece.tamu.edu
Computer Engineering,
Texas A&M University,
College Station, TX 77840
e-mail: righetti@ece.tamu.edu
1Corresponding author.
Manuscript received December 27, 2017; final manuscript received April 30, 2018; published online June 5, 2018. Assoc. Editor: Xiaoning Jiang.
ASME J of Medical Diagnostics. Aug 2018, 1(3): 031006 (12 pages)
Published Online: June 5, 2018
Article history
Received:
December 27, 2017
Revised:
April 30, 2018
Citation
Islam, M. T., Chaudhry, A., Unnikrishnan, G., Reddy, J. N., and Righetti, R. (June 5, 2018). "An Analytical Model of Tumors With Higher Permeability Than Surrounding Tissues for Ultrasound Elastography Imaging." ASME. ASME J of Medical Diagnostics. August 2018; 1(3): 031006. https://doi.org/10.1115/1.4040145
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