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Titel:

X-ray computed tomography using curvelet sparse regularization.

Dokumenttyp:
journal article
Autor(en):
Wieczorek, Matthias, M; Frikel, Jürgen, J; Vogel, Jakob, J; Eggl, Elena, E; Kopp, Felix, F; Noël, Peter B, PB; Pfeiffer, Franz, F; Demaret, Laurent, L; Lasser, Tobias, T
Abstract:
Reconstruction of x-ray computed tomography (CT) data remains a mathematically challenging problem in medical imaging. Complementing the standard analytical reconstruction methods, sparse regularization is growing in importance, as it allows inclusion of prior knowledge. The paper presents a method for sparse regularization based on the curvelet frame for the application to iterative reconstruction in x-ray computed tomography.In this work, the authors present an iterative reconstruction approac...     »
Zeitschriftentitel:
Med Phys
Jahr:
2015
Band / Volume:
42
Heft / Issue:
4
Seitenangaben Beitrag:
1555-65
Sprache:
eng
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/25832046
Print-ISSN:
0094-2405
TUM Einrichtung:
Institut für Radiologie
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