Regularization Designs for Uniform Spatial Resolution and Noise Properties in Statistical Image Reconstruction for 3-D X-ray CT

Statistical image reconstruction methods for X-ray computed tomography (CT) provide improved spatial resolution and noise properties over conventional filtered back-projection (FBP) reconstruction, along with other potential advantages such as reduced patient dose and artifacts. Conventional regular...

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Veröffentlicht in:	IEEE transactions on medical imaging 2015-02, Vol.34 (2), p.678-689
Hauptverfasser:	Cho, Jang Hwan, Fessler, Jeffrey A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation methods Computed tomography Computer Simulation Cone-beam tomography Geometry Humans Image reconstruction Imaging, Three-Dimensional - methods iterative reconstruction model-based image reconstruction Models, Statistical Noise Phantoms, Imaging regularization Spatial resolution Tomography, X-Ray Computed - methods
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