Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density

This paper presents a new method for reconstructing regions of interest (ROI) from a limited number of computed tomography (CT) measurements. Classical model-based iterative reconstruction methods lead to images with predictable features. Still, they often suffer from tedious parameterization and sl...

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Bibliographische Detailangaben

Hauptverfasser:	Savanier, Marion, Chouzenoux, Emilie, Pesquet, Jean-Christophe, Riddell, Cyril
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Mathematics - Optimization and Control
Online-Zugang:	Volltext bestellen
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