7 papers
Deep Reinforcement Learning for Optimizing Angle Selection and Dose Allocation in CT Reconstruction
Tianyuan Wang, Daniël M. Pelt, Felix Lucka +2
Traditional X-ray computed tomography (CT) scanning strategies typically select projection angles uniformly and allocate dose equally. In practice, however, CT scans often need to…
Data-Driven Filter Design for Flexible and Noise-Robust Tomographic Imaging
Hamid Fathi, Alexander Skorikov, Tristan van Leeuwen
While filtered back projection (FBP) is still the method of choice for fast tomographic reconstruction, its performance degrades noticeably in the presence of noise, incomplete sam…
Quasi-static in vivo elastography from internal displacement information only
David G. J. Heesterbeek, Max H. C. van Riel, Ray S. S. Sheombarsing +4
As disease often alters the structural properties of soft tissue, noninvasive elastography techniques have emerged to quantitatively assess in vivo mechanical properties. Magnetic…
Phasebook: A Survey of Selected Open Problems in Phase Retrieval
Marc Allain, Selin Aslan, Wim Coene +13
Phase retrieval is an inverse problem that, on one hand, is crucial in many applications across imaging and physics, and, on the other hand, leads to deep research questions in the…
PtyGenography: using generative models for regularization of the phase retrieval problem
Selin Aslan, Tristan van Leeuwen, Allard Mosk +1
In phase retrieval and similar inverse problems, the stability of solutions across different noise levels is crucial for applications. One approach to promote it is using signal pr…
Derivative-free stochastic bilevel optimization for inverse problems
Mathias Staudigl, Simon Weissmann, Tristan van Leeuwen
Inverse problems are key issues in several scientific areas, including signal processing and medical imaging. Data-driven approaches for inverse problems aim for learning model and…
AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution
Wangduo Xie, Richard Schoonhoven, Tristan van Leeuwen +1
Computed tomography (CT) reconstruction plays a crucial role in industrial nondestructive testing and medical diagnosis. Sparse view CT reconstruction aims to reconstruct high-qual…