Time-harmonic optical flow with applications in elastography

Abstract In this paper, we propose mathematical models for reconstructing the optical flow in time-harmonic elastography. In this image acquisition technique, the object undergoes a special time-harmonic oscillation with known frequency so that only the spatially varying amplitude of the velocity field has to be determined. This allows for a simpler multi-frame optical flow analysis using Fourier analytic tools in time. We propose three variational optical flow models and show how their minimization can be tackled via Fourier transform in time. Numerical examples with synthetic as well as real-world data demonstrate the benefits of our approach.

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Publication Details

Journal
Inverse Problems
Published
2024-11-26
DOI
https://doi.org/10.1088/1361-6420/ad9776
Primary Topic
Advanced Vision and Imaging
Type
article
Field-Weighted Citation Impact
0.00

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article

Time-harmonic optical flow with applications in elastography

Gabriele Steidl, Jakob Jordan, Michael Quellmalz, Ingolf Sack et al.
Inverse Problems
Advanced Vision and Imaging
article

Time-harmonic optical flow with applications in elastography

Gabriele Steidl, Jakob Jordan, Michael Quellmalz, Ingolf Sack, Oleh Melnyk, Noah Jaitner
article en

Abstract

Abstract In this paper, we propose mathematical models for reconstructing the optical flow in time-harmonic elastography. In this image acquisition technique, the object undergoes a special time-harmonic oscillation with known frequency so that only the spatially varying amplitude of the velocity field has to be determined. This allows for a simpler multi-frame optical flow analysis using Fourier analytic tools in time. We propose three variational optical flow models and show how their minimization can be tackled via Fourier transform in time. Numerical examples with synthetic as well as real-world data demonstrate the benefits of our approach.

Inverse ProblemsVol. 40(12)
Technische Universität Berlin (DE), Charité - Universitätsmedizin Berlin (DE)
Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Austrian Science Fund
Openalex Percentile: Top 79%
Advanced Vision and Imaging
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