91 citations · 293 across the 30 of their papers we have counts for
8 papers · 1 filter
Time-Resolved Reconstruction of Motion, Force, and Stiffness using Spectro-Dynamic MRI
Max H. C. van Riel, Tristan van Leeuwen, Cornelis A. T. van den Berg +1
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 dat…
Joint 2D to 3D image registration workflow for comparing multiple slice photographs and CT scans of apple fruit with internal disorders
Dirk Elias Schut, Rachael Maree Wood, Anna Katharina Trull +4
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…
Maximum-likelihood estimation in ptychography in the presence of Poisson-Gaussian noise statistics
Jacob Seifert, Yifeng Shao, Rens van Dam +3
Optical measurements often exhibit mixed Poisson-Gaussian noise statistics, which hampers image quality, particularly under low signal-to-noise ratio (SNR) conditions. Computationa…
Sequential Experimental Design for X-Ray CT Using Deep Reinforcement Learning
Tianyuan Wang, Felix Lucka, Tristan van Leeuwen
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…
2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning
Maximilian B. Kiss, Sophia B. Coban, K. Joost Batenburg +2
Recent research in computational imaging largely focuses on developing machine learning (ML) techniques for image reconstruction, which requires large-scale training datasets consi…
Quantifying the effect of X-ray scattering for data generation in real-time defect detection
Vladyslav Andriiashen, Robert van Liere, Tristan van Leeuwen +1
Background: X-ray imaging is widely used for the non-destructive detection of defects in industrial products on a conveyor belt. In-line detection requires highly accurate, robust,…
A data-driven approach to solving a 1D inverse scattering problem
Tristan van Leeuwen, Andreas Tataris
In this paper, we extend the ROM-based approach for inverse scattering with Neumann boundary conditions, introduced by Druskin at. al. (Inverse Problems 37, 2021), to the 1D Schr{ö…
Towards retrospective motion correction and reconstruction for clinical 3D brain MRI protocols with a reference contrast
Gabrio Rizzuti, Tim Schakel, Niek R. F. Huttinga +3
Motion artifacts often spoil the radiological interpretation of MR images, and in the most severe cases the scan needs be repeated, with additional costs for the provider. We discu…