Zobrazeno 1 - 10
of 218
pro vyhledávání: '"van Leeuwen, Tristan"'
Recent works demonstrate the effectiveness of diffusion models as unsupervised solvers for inverse imaging problems. Sparse-view computed tomography (CT) has greatly benefited from these advancements, achieving improved generalization without relianc
Externí odkaz:
http://arxiv.org/abs/2411.06308
Computed tomography (CT) reconstruction plays a crucial role in industrial nondestructive testing and medical diagnosis. Sparse view CT reconstruction aims to reconstruct high-quality CT images while only using a small number of projections, which he
Externí odkaz:
http://arxiv.org/abs/2409.07171
Autor:
Ivanina, Aleksandra, Marshall, Maxim, Abrashitova, Ksenia, van Leeuwen, Tristan, Amitonova, Lyubov V.
Label-free quantitative phase imaging is a vital tool for optical microscopy and metrology applications. A hair-thin multimode fiber stands out as a very attractive platform for minimally invasive imaging. Here we propose and experimentally demonstra
Externí odkaz:
http://arxiv.org/abs/2407.04323
Ultrafast ultrasound imaging insonifies a medium with one or a combination of a few plane waves at different beam-steered angles instead of many focused waves. It can achieve much higher frame rates, but often at the cost of reduced image quality. De
Externí odkaz:
http://arxiv.org/abs/2404.14188
Autor:
van Leeuwen, Tristan, Yang, Yunan
Inverse problems are ubiquitous in science and engineering. Many of these are naturally formulated as a PDE-constrained optimization problem. These non-linear, large-scale, constrained optimization problems know many challenges, of which the inherent
Externí odkaz:
http://arxiv.org/abs/2403.15292
X-ray imaging can be efficiently used for high-throughput in-line inspection of industrial products. However, designing a system that satisfies industrial requirements and achieves high accuracy is a challenging problem. The effect of many system set
Externí odkaz:
http://arxiv.org/abs/2401.16847
Measuring the dynamics and mechanical properties of muscles and joints is important to understand the (patho)physiology of muscles. However, acquiring dynamic time-resolved MRI data is challenging. We have previously developed Spectro-Dynamic MRI whi
Externí odkaz:
http://arxiv.org/abs/2310.07622
Autor:
Schut, Dirk Elias, Wood, Rachael Maree, Trull, Anna Katharina, Schouten, Rob, van Liere, Robert, van Leeuwen, Tristan, Batenburg, Kees Joost
A large percentage of apples are affected by internal disorders after long-term storage, which makes them unacceptable in the supply chain. CT imaging is a promising technique for in-line detection of these disorders. Therefore, it is crucial to unde
Externí odkaz:
http://arxiv.org/abs/2310.01987
Autor:
Seifert, Jacob, Shao, Yifeng, van Dam, Rens, Bouchet, Dorian, van Leeuwen, Tristan, Mosk, Allard P.
Publikováno v:
Opt. Lett. 48, 6027-6030 (2023)
Optical measurements often exhibit mixed Poisson-Gaussian noise statistics, which hampers image quality, particularly under low signal-to-noise ratio (SNR) conditions. Computational imaging falls short in such situations when solely Poissonian noise
Externí odkaz:
http://arxiv.org/abs/2308.02436
Publikováno v:
IEEE Transactions on Computational Imaging, vol. 10, pp. 953 - 968, 2024
In X-ray Computed Tomography (CT), projections from many angles are acquired and used for 3D reconstruction. To make CT suitable for in-line quality control, reducing the number of angles while maintaining reconstruction quality is necessary. Sparse-
Externí odkaz:
http://arxiv.org/abs/2307.06343