Zobrazeno 1 - 10
of 416
pro vyhledávání: '"Sijbers, P."'
Autor:
Nguyen, Anh-Tuan, Renders, Jens, Iuso, Domenico, Maris, Yves, Soete, Jeroen, Wevers, Martine, Sijbers, Jan, De Beenhouwer, Jan
In four-dimensional computed tomography (4DCT), 3D images of moving or deforming samples are reconstructed from a set of 2D projection images. Recent techniques for iterative motion-compensated reconstruction either necessitate a reference acquisitio
Externí odkaz:
http://arxiv.org/abs/2402.04480
Autor:
Iuso, Domenico, Chatterjee, Soumick, Cornelissen, Sven, Verhees, Dries, De Beenhouwer, Jan, Sijbers, Jan
Additive Manufacturing (AM) has emerged as a manufacturing process that allows the direct production of samples from digital models. To ensure that quality standards are met in all manufactured samples of a batch, X-ray computed tomography (X-CT) is
Externí odkaz:
http://arxiv.org/abs/2305.07894
Current state-of-the-art motion-based dynamic computed tomography reconstruction techniques estimate the deformation by considering motion models in the entire object volume although occasionally the proper change is local. In this article, we addres
Externí odkaz:
http://arxiv.org/abs/2301.11029
Autor:
Renders, Jens, Shafieizargar, Banafshe, Verhoye, Marleen, De Beenhouwer, Jan, Dekker, Arnold J. den, Sijbers, Jan
Longitudinal MRI is an important diagnostic imaging tool for evaluating the effects of treatment and monitoring disease progression. However, MRI, and particularly longitudinal MRI, is known to be time consuming. To accelerate imaging, compressed sen
Externí odkaz:
http://arxiv.org/abs/2301.09455
Autor:
Diana L. Giraldo, Hamza Khan, Gustavo Pineda, Zhihua Liang, Alfonso Lozano-Castillo, Bart Van Wijmeersch, Henry C. Woodruff, Philippe Lambin, Eduardo Romero, Liesbet M. Peeters, Jan Sijbers
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
IntroductionMagnetic resonance imaging (MRI) is crucial for diagnosing and monitoring of multiple sclerosis (MS) as it is used to assess lesions in the brain and spinal cord. However, in real-world clinical settings, MRI scans are often acquired with
Externí odkaz:
https://doaj.org/article/052143e1152b4ee88bc9439836d508c9
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 12 (2024)
IntroductionFoot shape assessment is important to characterise the complex shape of a foot, which is in turn essential for accurate design of foot orthoses and footwear, as well as quantification of foot deformities (e.g., hallux valgus). Numerous ap
Externí odkaz:
https://doaj.org/article/7437b4c16cc64f2d9b3dbd4b7b02a824
The design of new x-ray phase contrast imaging setups often relies on Monte Carlo simulations for prospective parameter studies. Monte Carlo simulations are known to be accurate but time consuming, leading to long simulation times, especially when ma
Externí odkaz:
http://arxiv.org/abs/2208.04137
Autor:
Jonas Grammens, Annemieke Van Haver, Femke Danckaers, Kristien Vuylsteke, Jan Sijbers, Lotem Mahluf, Peter Angele, Elizaveta Kon, Peter Verdonk, MEFISTO WP1 Group
Publikováno v:
Journal of Experimental Orthopaedics, Vol 11, Iss 3, Pp n/a-n/a (2024)
Abstract Purpose The study aims to identify differences in tibiofemoral joint morphology between responders (R group, no pain) to arthroscopic partial medial meniscectomy (APMM) versus medial postmeniscectomy syndrome patients (MPMS group, recurrent
Externí odkaz:
https://doaj.org/article/9ce2f2d0705b48b783c0d598a1f45fe3
Publikováno v:
e-Journal of Nondestructive Testing, Vol 29, Iss 3 (2024)
Externí odkaz:
https://doaj.org/article/032105698559470d84e83022cd6caa25
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