3 papers
math.NA2021
Improving reproducibility in synchrotron tomography using implementation-adapted filters
Poulami Somanya Ganguly, Daniël M. Pelt, Doga Gürsoy +2
For reconstructing large tomographic datasets fast, filtered backprojection-type or Fourier-based algorithms are still the method of choice, as they have been for decades. These ro…
eess.IV2020
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks
Marinus J. Lagerwerf, Daniel M Pelt, Willem Jan Palenstijn +1
Circular cone-beam (CCB) Computed Tomography (CT) has become an integral part of industrial quality control, materials science and medical imaging. The need to acquire and process…
eess.IV2020
Noise2Inverse: Self-supervised deep convolutional denoising for tomography
Allard A. Hendriksen, Daniel M. Pelt, K. Joost Batenburg
Recovering a high-quality image from noisy indirect measurements is an important problem with many applications. For such inverse problems, supervised deep convolutional neural net…