Cargando…
Metric-guided regularisation parameter selection for statistical iterative reconstruction in computed tomography
As iterative reconstruction in Computed Tomography (CT) is an ill-posed problem, additional prior information has to be used to get a physically meaningful result (close to ground truth if available). However, the amount of influence of the regularisation prior is crucial to the outcome of the recon...
Autores principales: | Allner, Sebastian, Gustschin, Alex, Fehringer, Andreas, Noël, Peter B., Pfeiffer, Franz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6461679/ https://www.ncbi.nlm.nih.gov/pubmed/30979911 http://dx.doi.org/10.1038/s41598-019-40837-7 |
Ejemplares similares
-
Tilted grating phase-contrast computed tomography using statistical iterative reconstruction
por: Birnbacher, Lorenz, et al.
Publicado: (2018) -
Statistical iterative reconstruction algorithm for X-ray phase-contrast CT
por: Hahn, Dieter, et al.
Publicado: (2015) -
Reduction of Metal Artifact in Single Photon-Counting Computed Tomography by Spectral-Driven Iterative Reconstruction Technique
por: Nasirudin, Radin A., et al.
Publicado: (2015) -
Correction: Reduction of Metal Artifact in Single Photon-Counting Computed Tomography by Spectral-Driven Iterative Reconstruction Technique
por: Nasirudin, Radin A., et al.
Publicado: (2015) -
Bootstrap-Optimised Regularised Image Reconstruction for Emission Tomography
Publicado: (2020)