Mr. Tim Vöth Profile

Tim Vöth

at Ziehm Imaging GmbH

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Publications (5)

Proceedings Article | 1 April 2024 Poster + Paper

Real-time dynamic 3D CBCT reconstruction from two projections using latent information of past time steps

Cem Daloglu, Tim Vöth, Marc Kachelrieß

Proceedings Volume 12925, 129253H (2024) https://doi.org/10.1117/12.3006169

KEYWORDS: 3D modeling, 3D projection, Image restoration, Education and training, X-rays, Reconstruction algorithms, Data modeling, Cone beam computed tomography, X-ray imaging, Performance modeling

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Proceedings Article | 18 October 2022 Open Access

3D reconstruction of stents and guidewires in an anthropomorphic phantom from three x-ray projections

Tim Vöth, Thomas König, Elias Eulig, Michael Knaup, Veit Wiesmann, Klaus Hörndler, Marc Kachelrieß

Proceedings Volume 12304, 1230411 (2022) https://doi.org/10.1117/12.2646406

KEYWORDS: X-rays, Reconstruction algorithms, X-ray imaging, Fluoroscopy, Image segmentation, 3D acquisition, 3D image processing, Computed tomography, Image-guided intervention

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Proceedings Article | 4 April 2022 Presentation + Paper

Real-time 3D reconstruction of multiple guidewires at dose values of conventional 2D fluoroscopy

Tim Vöth, Thomas König, Elias Eulig, Michael Knaup, Klaus Hörndler, Marc Kachelrieß

Proceedings Volume 12031, 120311M (2022) https://doi.org/10.1117/12.2606579

KEYWORDS: X-rays, Reconstruction algorithms, Fluoroscopy, X-ray imaging, 3D image reconstruction, 3D acquisition, 3D scanning, Image-guided intervention

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Proceedings Article | 4 April 2022 Presentation + Paper

DeepRAR: a CNN-based approach for CT and CBCT ring artifact reduction

Philip Trapp, Carlo Amato, Stefan Sawall, Marc Kachelrieß, Tim Vöth

Proceedings Volume 12031, 120311D (2022) https://doi.org/10.1117/12.2612667

KEYWORDS: Computed tomography, Sensors, X-ray computed tomography, Signal detection, Data corrections, 3D image reconstruction, Photon counting, Neural networks, Network architectures, Head

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Proceedings Article | 1 March 2019 Presentation + Paper

Forward and cross-scatter estimation in dual source CT using the deep scatter estimation (DSE)

Tim Vöth, Joscha Maier, Julien Erath, Marc Kachelrieß

Proceedings Volume 10948, 109480P (2019) https://doi.org/10.1117/12.2512718

KEYWORDS: X-ray computed tomography, Convolutional neural networks, Monte Carlo methods, Computed tomography, X-ray imaging, Computer simulations, Neural networks, X-rays, Scattering compensation, Scattering, Dual energy imaging, Machine learning

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