Fixing Nonconvergence of Algebraic Iterative Reconstruction with an Unmatched Backprojector

Autor: Dong, Yiqiu, Hansen, Per Christian, Hochstenbach, Michiel E., Riis, Nicolai Andre Brogaard

We consider algebraic iterative reconstruction methods with applications in image reconstruction. In particular, we are concerned with methods based on an unmatched projector/backprojector pair; i.e., the backprojector is not the exact adjoint or tra

Externí odkaz: http://arxiv.org/abs/1902.04282

Inferring Features with Uncertain Roughness

Autor: Afkham, Babak Maboudi, Riis, Nicolai André Brogaard, Dong, Yiqiu, Hansen, Per Christian

This work describes a Bayesian framework for reconstructing functions that represents the targeted features with uncertain regularity, i.e., roughness vs. smoothness. The regularity of functions carries crucial information in many inverse problem app

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6429a9749623fcae3b42a33acb58fe57

A New Iterative Method for CT Reconstruction with Uncertain View Angles

Autor: Riis, Nicolai André Brogaard, Dong, Yiqiu

Publikováno v: Riis, N A B & Dong, Y 2019, A New Iterative Method for CT Reconstruction with Uncertain View Angles . in J Lellmann, J Modersitzki & M Burger (eds), Proceedings of 7th International Conference on Scale Space and Variational Methods in Computer Vision . Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11603 LNCS, pp. 156-167, 7th International Conference on Scale Space and Variational Methods in Computer Vision, Hofgeismar, Germany, 30/06/2019 . https://doi.org/10.1007/978-3-030-22368-7_13

In this paper, we propose a new iterative algorithm for Computed Tomography (CT) reconstruction when the problem has uncertainty in the view angles. The algorithm models this uncertainty by an additive model-discrepancy term leading to an estimate of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1202::c4b3037f00441646849395cbd6bc5fe6
https://orbit.dtu.dk/en/publications/bf8e1856-40a4-47ae-9ec7-afcd418b2863

Computed tomography with view angle estimation using uncertainty quantification.

Autor: Riis, Nicolai André Brogaard, Dong, Yiqiu, Hansen, Per Christian

Publikováno v: Inverse Problems; Jun2021, Vol. 37 Issue 6, p1-20, 20p