Challenges for optical flow estimates in elastography

DOI10.1007/978-3-030-75549-2_11zbMath1484.68262arXiv2103.14494OpenAlexW3165039225MaRDI QIDQ826151

Otmar Scherzer, Simon Hubmer, Lisa Krainz, Wolfgang Drexler, Ekaterina Sherina

Publication date: 20 December 2021

Full work available at URL: https://arxiv.org/abs/2103.14494

zbMATH Keywords

displacement field estimationelastographic optical flowspeckle tracking

Mathematics Subject Classification ID

Machine vision and scene understanding (68T45)

Related Items (3)

Mathematical imaging and surface processing. Abstracts from the workshop held August 21--27, 2022 ⋮ Stability for Finite Element Discretization of Some Inverse Parameter Problems from Internal Data: Application to Elastography ⋮ Tomographic inverse problems: mathematical challenges and novel applications. Abstracts from the workshop held April 30 -- May 5, 2023

Cites Work

• Texture generation for photoacoustic elastography
• A Survey on Variational Optic Flow Methods for Small Displacements
• FAIR
• Lamé Parameter Estimation from Static Displacement Field Measurements in the Framework of Nonlinear Inverse Problems
• A Mathematical Study of the Relaxed Optical Flow Problem in the Space $BV (\Omega)$
• Displacement field estimation from OCT images utilizing speckle information with applications in quantitative elastography
• A Multilevel Method for Image Registration

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