Abstract
In this paper, we consider visualization of displacement fields via optical flow methods in elastographic experiments consisting of a static compression of a sample. We propose an elastographic optical flow method (EOFM) which takes into account experimental constraints, such as appropriate boundary conditions, the use of speckle information, as well as the inclusion of structural information derived from knowledge of the background material. We present numerical results based on both simulated and experimental data from an elastography experiment in order to demonstrate the relevance of our proposed approach.
Supported by the Austrian Science Fund (FWF): project F6807-N36 (ES and OS), project F6805-N36 (SH), and project F6803-N36 (LK and WD).
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Sherina, E., Krainz, L., Hubmer, S., Drexler, W., Scherzer, O. (2021). Challenges for Optical Flow Estimates in Elastography. In: Elmoataz, A., Fadili, J., Quéau, Y., Rabin, J., Simon, L. (eds) Scale Space and Variational Methods in Computer Vision. SSVM 2021. Lecture Notes in Computer Science(), vol 12679. Springer, Cham. https://doi.org/10.1007/978-3-030-75549-2_11
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