Recurrent Inference Machines as inverse problem solvers for MR relaxometry

Autor: Sabidussi, E. R., Klein, S., Caan, M. W. A., Bazrafkan, S., Dekker, A. J. den, Sijbers, J., Niessen, W. J., Poot, D. H. J.

In this paper, we propose the use of Recurrent Inference Machines (RIMs) to perform T1 and T2 mapping. The RIM is a neural network framework that learns an iterative inference process based on the signal model, similar to conventional statistical met

Externí odkaz: http://arxiv.org/abs/2106.07379

Perceptual super-resolution in multiple sclerosis MRI.

Autor: Giraldo DL; Imec-Vision Lab, University of Antwerp, Antwerp, Belgium.; μNEURO Research Center of Excellence, University of Antwerp, Antwerp, Belgium.; Computer Imaging and Medical Applications Laboratory-Cim@Lab, Universidad Nacional de Colombia, Bogotá, Colombia., Khan H; University MS Center, Biomedical Research Institute, Hasselt University, Hasselt, Belgium.; Data Science Institute (DSI), Hasselt University, Hasselt, Belgium.; The D-Lab, Department of Precision Medicine, GROW-Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands., Pineda G; Computer Imaging and Medical Applications Laboratory-Cim@Lab, Universidad Nacional de Colombia, Bogotá, Colombia., Liang Z; Imec-Vision Lab, University of Antwerp, Antwerp, Belgium.; μNEURO Research Center of Excellence, University of Antwerp, Antwerp, Belgium., Lozano-Castillo A; Department of Diagnostic Imaging, Hospital Universitario Nacional, Universidad Nacional de Colombia, Bogotá, Colombia., Van Wijmeersch B; Noorderhart, Revalidatie en Multiple Sclerose, Pelt, Belgium., Woodruff HC; The D-Lab, Department of Precision Medicine, GROW-Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands.; Department of Radiology and Nuclear Imaging, GROW-Research Institute for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, Netherlands., Lambin P; The D-Lab, Department of Precision Medicine, GROW-Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands.; Department of Radiology and Nuclear Imaging, GROW-Research Institute for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, Netherlands., Romero E; Computer Imaging and Medical Applications Laboratory-Cim@Lab, Universidad Nacional de Colombia, Bogotá, Colombia., Peeters LM; University MS Center, Biomedical Research Institute, Hasselt University, Hasselt, Belgium.; Data Science Institute (DSI), Hasselt University, Hasselt, Belgium., Sijbers J; Imec-Vision Lab, University of Antwerp, Antwerp, Belgium.; μNEURO Research Center of Excellence, University of Antwerp, Antwerp, Belgium.

Publikováno v: Frontiers in neuroscience [Front Neurosci] 2024 Oct 22; Vol. 18, pp. 1473132. Date of Electronic Publication: 2024 Oct 22 (Print Publication: 2024).

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A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems

Autor: Cools, Siegfried, Ghysels, Pieter, van Aarle, Wim, Sijbers, J., Vanroose, Wim

Classical iterative methods for tomographic reconstruction include the class of Algebraic Reconstruction Techniques (ART). Convergence of these stationary linear iterative methods is however notably slow. In this paper we propose the use of Krylov so

Externí odkaz: http://arxiv.org/abs/1310.0956

Foot shape assessment techniques for orthotic and footwear applications: a methodological literature review.

Autor: Danckaers F; imec - Vision Lab, Department of Physics, University of Antwerp, Antwerp, Belgium., Stanković K; imec - Vision Lab, Department of Physics, University of Antwerp, Antwerp, Belgium., Huysmans T; imec - Vision Lab, Department of Physics, University of Antwerp, Antwerp, Belgium.; Section on Applied Ergonomics & Design, Department of Human-Centered Design, Delft University of Technology, Delft, Netherlands., Booth BG; imec - Vision Lab, Department of Physics, University of Antwerp, Antwerp, Belgium.; imec - Image Processing and Interpretation Lab, TELIN Department, Ghent University, Ghent, Belgium., Sijbers J; imec - Vision Lab, Department of Physics, University of Antwerp, Antwerp, Belgium.

Publikováno v: Frontiers in bioengineering and biotechnology [Front Bioeng Biotechnol] 2024 Sep 05; Vol. 12, pp. 1416499. Date of Electronic Publication: 2024 Sep 05 (Print Publication: 2024).