Paper
27 February 2009 Assessing the feasibility for a poroelastic reconstruction algorithm in MR elastography
Author Affiliations +
Abstract
Implementing constitutive relations that accurately describe the mechanical behavior of biological tissues in vivo is integral to the success of any model-based elastographic reconstruction technique, and the diagnostic value of the recovered images. Recently, poroelastic theory has been used to model tissue and other materials comprised of two distinct phases. Current linearly elastic techniques are not capable of fully describing the complex mechanical behavior of fluid-saturated tissues because they consider only a single solid phase, neglecting the influence of extracellular fluid. In an attempt to model the deformation of biological tissues more effectively in vivo by employing constitutive relations which are more representative of tissue structure and physiology, a three-dimensional (3D) finite element reconstruction algorithm has been developed based on the equations of dynamic poroelasticity. The algorithm operates on a single domain of O(103) nodes. The performance of the algorithm was tested using simulated data. The results suggest that the technique is capable of recovering accurate distributions of the underlying mechanical properties of the solid matrix as well as the time-harmonic pressure field resulting from tissue vibration.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Phillip R. Perrinez, Francis E. Kennedy, John B. Weaver, and Keith D. Paulsen "Assessing the feasibility for a poroelastic reconstruction algorithm in MR elastography", Proc. SPIE 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging, 72621E (27 February 2009); https://doi.org/10.1117/12.811714
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Tissues

Reconstruction algorithms

Solids

3D modeling

Data modeling

Chemical elements

Elastography

Back to Top