Contribution to a conference proceedings/Contribution to a book

PUBDB-2024-06635

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png VolRAFT: Volumetric Optical Flow Network for Digital Volume Correlation of Synchrotron Radiation-based Micro-CT Images of Bone-Implant Interfaces

Wong, T. M. (Corresponding author)Extern*Hereon* ; Moosmann, J.HZG*Hereon* ; Zeller-Plumhoff, B. (Corresponding author)HZG*Hereon*

2024
IEEE Piscataway, NJ
ISBN: 979-8-3503-6547-4

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Please use a persistent id in citations: doi:10.1109/CVPRW63382.2024.00010  doi:10.3204/PUBDB-2024-06635

Abstract: In materials science research, digital volume correlation (DVC) analysis is commonly used to track deformations and strains to elucidate morphology-function relationships. Optical flow-based DVC is particularly popular because of its robustness to estimate the correlation as a dense deformation vector. Recently, computer vision researchers showed that network-based optical flow approaches can outperform classical iterative optical flow approaches. In this paper, we propose a supervised machine learning approach for digital volume correlation, VolRAFT, that estimates the 3D displacement vector between the reference volume and the deformed volume. The proposed approach extends the state-of-the-art network-based optical flow method, RAFT, from 2D images to 3D volumes such that it predicts the volumetric displacement vector from the input volume pairs. Experiments show that the proposed network performs well in estimating different displacement fields when compared to cutting-edge iterative DVC methods for bone-implant materials based on high resolution synchrotron-radiation micro-computed tomography imaging data.

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Contributing Institute(s):

1. Helmholtz-Zentrum Hereon (Hereon)
2. DOOR-User (DOOR ; HAS-User)

Research Program(s):

1. 6G3 - PETRA III (DESY) (POF4-6G3) (POF4-6G3)
2. 05D23CG1 - Verbundprojekt 05D2022 - KI4D4E: Ein KI-basiertes Framework für die Visualisierung und Auswertung der massiven Datenmengen der 4D-Tomographie für Endanwender von Beamlines. Teilprojekt 7. (BMBF-05D23CG1) (BMBF-05D23CG1)
3. FS-Proposal: I-20180109 (I-20180109) (I-20180109)

Experiment(s):

1. PETRA Beamline P05 (PETRA III)

Appears in the scientific report 2024

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Database coverage:

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