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Quantification of cardiac deformation and strain with 3D ultrasound takes considerable research efforts. Nevertheless, a widespread use of these techniques in clinical practice is still held back due to the lack of a solid verification process to quantify and compare performance. In this context, the use of fully synthetic sequences has become an established tool for initial in silico evaluation....
Despite the overwhelming availability of techniques for computation of cardiac deformation and strain with 2D echocardiography, their widespread dissemination in clinical practice is still held back by the reported low reproducibility between different solutions. This can in part be attributed to the lack of a solid and open quality assurance framework to assess and compare their performance. Building...
This paper proposes a new simulation framework for generating realistic 3D ultrasound synthetic images that can serve for validating strain quantification algorithms. Our approach extends previous work and combines a real ultrasound sequence with synthetic biomechanical and ultrasound models. It provides images that fairly represent all typical ultrasound artifacts. Ground truth motion fields are...
This article presents a new method for motion and strain estimation in 3D echocardiography, called Sparse Demons, along with quantitative and qualitative evaluations from a dataset of synthetic ultrasound sequences. Motion estimation is based on a fast demons-like algorithm focusing on myocardial tissue. Synthetic 3D ultrasound images were generated by combining a biomechanical model of the heart...
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