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Efficient implementations of a pseudodynamical stochastic filtering strategy for static elastography

Banerjee, Biswanath and Roy, Debasish and Vasu, Ram Mohan (2009) Efficient implementations of a pseudodynamical stochastic filtering strategy for static elastography. In: Medical Physics, 36 (8). pp. 3470-3476.

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A computationally efficient pseudodynamical filtering setup is established for elasticity imaging (i.e., reconstruction of shear modulus distribution) in soft-tissue organs given statically recorded and partially measured displacement data. Unlike a regularized quasi-Newton method (QNM) that needs inversion of ill-conditioned matrices, the authors explore pseudodynamic extended and ensemble Kalman filters (PD-EKF and PD-EnKF) that use a parsimonious representation of states and bypass explicit regularization by recursion over pseudotime. Numerical experiments with QNM and the two filters suggest that the PD-EnKF is the most robust performer as it exhibits no sensitivity to process noise covariance and yields good reconstruction even with small ensemble sizes.

Item Type: Journal Article
Additional Information: Copyright of this article belongs to American Institute of Physics.
Keywords: biological organs;biomechanics;biomedical MRI;image reconstruction;Kalman filters;medical image processing; shear modulus;stochastic processes.
Department/Centre: Division of Mechanical Sciences > Civil Engineering
Depositing User: Id for Latest eprints
Date Deposited: 26 Aug 2009 04:44
Last Modified: 26 Aug 2009 04:44
URI: http://eprints.iisc.ac.in/id/eprint/22262

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