Literature DB >> 23718614

Silicone breast phantoms for elastographic imaging evaluation.

Amer S Kashif1, Thomas F Lotz, Matthew D McGarry, Adam J Pattison, James G Chase.   

Abstract

PURPOSE: Breast cancer is a major public health issue for women, and early detection significantly increases survival rate. Currently, there is increased research interest in elastographic soft-tissue imaging techniques based on the correlation between pathology and mechanical stiffness. Anthropomorphic breast phantoms are critical for ex vivo validation of emerging elastographic technologies. This research develops heterogeneous breast phantoms for use in testing elastographic imaging modalities.
METHODS: Mechanical property estimation of eight different elastomers is performed to determine storage moduli (E') and damping ratios (ζ) using a dynamic mechanical analyzer. Dynamic compression testing was carried out isothermally at room temperature over a range of 4-50 Hz. Silicone compositions with physiologically realistic storage modulus were chosen for mimicking skin adipose, cancerous tumors, and pectoral muscles and 13 anthropomorphic breast phantoms were constructed for ex vivo trials of digital image elastotomography (DIET) breast cancer screening system. A simpler fabrication was used to assess the possibility of multiple tumor detection using magnetic resonance elastography (MRE).
RESULTS: Silicone materials with ranges of storage moduli (E') from 2 to 570 kPa and damping ratios (ζ) from 0.03 to 0.56 were identified. The resulting phantoms were tested in two different elastographic breast cancer diagnostic modalities. A significant contrast was successfully identified between healthy tissues and cancerous tumors both in MRE and DIET.
CONCLUSIONS: The phantoms presented promise aid to researchers in elastographic imaging modalities for breast cancer detection and provide a foundation for silicone based phantom materials for mimicking soft tissues of other human organs.

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Year:  2013        PMID: 23718614     DOI: 10.1118/1.4805096

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  7 in total

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Authors:  Grace McIlvain; Elahe Ganji; Catherine Cooper; Megan L Killian; Babatunde A Ogunnaike; Curtis L Johnson
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2.  Gradient-Based Optimization for Poroelastic and Viscoelastic MR Elastography.

Authors:  Likun Tan; Matthew D J McGarry; Elijah E W Van Houten; Ming Ji; Ligin Solamen; John B Weaver; Keith D Paulsen
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3.  Pulse wave imaging using coherent compounding in a phantom and in vivo.

Authors:  Iason Zacharias Apostolakis; Matthew D J McGarry; Ethan A Bunting; Elisa E Konofagou
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4.  Finite element modelling and validation for breast cancer detection using digital image elasto-tomography.

Authors:  Hina M Ismail; Chris G Pretty; Matthew K Signal; Marcus Haggers; J Geoffrey Chase
Journal:  Med Biol Eng Comput       Date:  2018-03-10       Impact factor: 2.602

5.  Phantom evaluations of nonlinear inversion MR elastography.

Authors:  Ligin M Solamen; Matthew D McGarry; Likun Tan; John B Weaver; Keith D Paulsen
Journal:  Phys Med Biol       Date:  2018-07-19       Impact factor: 3.609

6.  An inverse approach to determining spatially varying arterial compliance using ultrasound imaging.

Authors:  Matthew Mcgarry; Ronny Li; Iason Apostolakis; Pierre Nauleau; Elisa E Konofagou
Journal:  Phys Med Biol       Date:  2016-07-06       Impact factor: 3.609

7.  A novel 3D printed mechanical actuator using centrifugal force for magnetic resonance elastography: Initial results in an anthropomorphic prostate phantom.

Authors:  Wiebke Neumann; Andreas Bichert; Jonas Fleischhauer; Antonia Stern; Roxana Figuli; Manfred Wilhelm; Lothar R Schad; Frank G Zöllner
Journal:  PLoS One       Date:  2018-10-08       Impact factor: 3.240

  7 in total

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