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The recent advances in meaningful constraining models have resulted in increasingly useful quantitative information recovered from cardiac images. Nevertheless, as most frameworks utilize either functional or structural images, the analyses cannot benefit from the complementary information provided by the other image sources. To better characterize subject-specific cardiac physiology and pathology,...
To recover physiologically meaningful cardiac deformation from medical images, realistic physiological models are essential to constrain the recovery process, and a statistical filtering framework is required to couple the models and images according to their respective uncertainties. As realistic cardiac models are usually nonlinear, existing cardiac deformation recovery frameworks either ignore...
To noninvasively reconstruct transmembrane potential (TMP) dynamics throughout the 3D myocardium using body surface potential recordings, it is necessary to combine prior physiological models and patient's data with regard to their respective uncertainties. To fulfill model-data melding for this large-scale and high-dimensional system, data assimilation with proper computational reduction is needed...
Since the introduction of biomechanical models into cardiac image analysis, there have been a number of efforts to estimate patient-specific cardiac kinematic functions and material properties, assuming the unobservable driving forces (a.k.a. the input forces) as known or constructible from boundary conditions. In this paper, we present a multiframe estimation framework which simultaneously recovers...
Meshfree particle method (MPM) exhibits improved flexibility and accuracy in dealing with problems with large deformation, complex geometry and material discontinuities. In this paper, we present a MPM based framework for the simultaneous shape recovery and motion tracking of the left ventricle. The myocardium is modeled as an anisotropic elastic body accounting for the fiber directions, represented...
Noninvasive imaging of cardiac electrophysiology has been an active area with increasing clinical significance. Instead of equivalent-source-based approaches, however, noninvasive 3D cardiac transmembrane potentials (TMP) mapping remains a formidable goal due to the remote and integrative nature of body surface potential recordings. We recognized the incorporation of a priori physiological knowledge...
We present a novel numerical scheme to accurately and efficiently simulate the spatiotemporal electrical propagation for three dimensional heart model. A meshfree particle representation of myocardial volume is first developed, upon which the electrical propagation can be obtained using the element-free Galerkin (EFG) method for the FitzHugh-Nagumo model. This method is based on a sufficient amount...
In patient-specific cardiac information recovery, meaningful a priori models for constraining the sparse and noise-corrupted measurements, and also the optimal criteria for coupling them together, are essential for obtaining more reliable estimates. Although the extensively used biomechanical models give promising results, it cannot account for the active components of the myocytes. In view of this,...
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