Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Harald Schöndube"'
Autor:
Viktor, Haase, Katharina, Hahn, Harald, Schöndube, Karl, Stierstorfer, Andreas, Maier, Frédéric, Noo
Publikováno v:
Medical Physics. 49:5014-5037
Background Various clinical studies show the potential for a wider quantitative role of diagnostic X‐ray computed tomography (CT) beyond size measurements. Currently, the clinical use of attenuation values is, however, limited due to their lack of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::441386017c764f3995e58a09a043c7ff
https://doi.org/10.1002/mp.15787
https://doi.org/10.1002/mp.15787
Publikováno v:
7th International Conference on Image Formation in X-Ray Computed Tomography.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79c8b90b0c3bd6575b49bee08b5c1ae4
https://doi.org/10.1117/12.2646567
https://doi.org/10.1117/12.2646567
Autor:
Andreas Maier, Frédéric Noo, Harald Schöndube, Viktor Haase, Karl Stierstorfer, Katharina Hahn
Publikováno v:
Medical Imaging 2021: Physics of Medical Imaging.
Since the introduction of model-based iterative reconstruction for computed tomography (CT) by Thibault et al. in 2007, statistical weights play an important role in the problem formulation with the objective to improve image quality. Statistical wei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc072a52942c23fc0a04f444c2234101
https://doi.org/10.1117/12.2581566
https://doi.org/10.1117/12.2581566
Autor:
Viktor Haase, Karl Stierstorfer, Harald Schöndube, Frédéric Noo, Andreas Maier, Katharina Hahn
Publikováno v:
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
Material decomposition algorithms for dual energy CT require knowledge on the energy response of the used system. This knowledge can be gained either through calibration measurements or using an explicit analytical model. While the former approach is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c730d5a31d62383844b8f7d87cec9925
https://doi.org/10.1109/nss/mic42677.2020.9507774
https://doi.org/10.1109/nss/mic42677.2020.9507774
Autor:
Frédéric Noo, Andreas Maier, Katharina Hahn, Viktor Haase, Karl Stierstorfer, Harald Schöndube
Publikováno v:
Medical Imaging 2020: Physics of Medical Imaging.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f717d6c9072ee123a71f5042f416e0d
https://doi.org/10.1117/12.2549733
https://doi.org/10.1117/12.2549733
Autor:
Katharina Hahn, Frédéric Noo, Viktor Haase, Karl Stierstorfer, Andreas Maier, Harald Schöndube
Publikováno v:
2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
Model based iterative reconstruction (MBIR) has attracted a lot of attention in X-ray computed tomography (CT). A strength of MBIR over classical filtered backprojection is its ability to apply constraints over the voxel values, which can be critical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44484aac3b8c767182bbcbdd003db0e2
https://doi.org/10.1109/nss/mic42101.2019.9059667
https://doi.org/10.1109/nss/mic42101.2019.9059667
Autor:
Katharina Hahn, Viktor Haase, Andreas Maier, Harald Schöndube, Karl Stierstorfer, Frédéric Noo
Publikováno v:
Medical Imaging 2019: Physics of Medical Imaging.
Because total variation (TV) is non-differentiable, iterative reconstruction using a TV penalty comes with technical difficulties. To avoid these, it is popular to use a smooth approximation of TV instead, which is defined using a single parameter, h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fd98599a8875fa30839a84d432412ab
https://doi.org/10.1117/12.2513375
https://doi.org/10.1117/12.2513375
Autor:
Harald Schöndube, Frédéric Noo, Andreas Maier, Katharina Hahn, Viktor Haase, Karl Stierstorfer
Publikováno v:
Med Phys
PURPOSE: Model-based iterative reconstruction is a promising approach to achieve dose reduction without affecting image quality in diagnostic x-ray computed tomography (CT). In the problem formulation, it is common to enforce non-negative values to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9bc0937b88ee034165af551f58128a3
https://pubmed.ncbi.nlm.nih.gov/31811793
https://pubmed.ncbi.nlm.nih.gov/31811793
Publikováno v:
Medical Physics. 43:6455-6473
Purpose: Recent reports indicate that model-based iterative reconstruction methods may improve image quality in computed tomography (CT). One difficulty with these methods is the number of options available to implement them, including the selection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5e77dfe408d03ea14df69dd8fca5f07
https://doi.org/10.1118/1.4966134
https://doi.org/10.1118/1.4966134
Publikováno v:
SPIE Proceedings.
Image reconstruction based on iterative minimization of a penalized weighted least-square criteria has become an important topic of research in X-ray computed tomography. This topic is motivated by increasing evidence that such a formalism may enable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a984026f1d5921994fce4a5ec4b129b0
https://doi.org/10.1117/12.2217558
https://doi.org/10.1117/12.2217558