Paper
29 March 2007 Boundary element methods in elastography: a first explorative study
Hans-Uwe Berger, Chris E. Hann, J. Geoffrey Chase, Robert L. Broughton, Elijah Van Houten
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Abstract
Next to Magnet Resonance Elastography and Ultrasound Elastography, Digital Image Elasto-Tomography (DIET) is a new imaging-technique, using only motion data available on the boundary, to reconstruct mechanical material parameters, i.e. the interior sti.ness of a domain, in order to diagnose tissue related disease such as breast cancer. Where classically Finite Element Methods have been employed to solve this inverse problem, this paper explores a new approach to the reconstruction of mechanical material properties of tissue and tissue defects by the use of Boundary Element Methods (BEM). Using the Boundary Integral Equations for Linear Elasticity in two dimensions within a Conjugate Gradients based inverse solver, material properties of healthy and malicious tissue could be determined from displacement data on the boundary. First simulation results are presented.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hans-Uwe Berger, Chris E. Hann, J. Geoffrey Chase, Robert L. Broughton, and Elijah Van Houten "Boundary element methods in elastography: a first explorative study", Proc. SPIE 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images, 65111V (29 March 2007); https://doi.org/10.1117/12.711863
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Cited by 5 scholarly publications.
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KEYWORDS
Elastography

Tissues

Inverse problems

Chemical elements

Breast cancer

Magnetic resonance elastography

Digital imaging

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