SPULTRA: Low-Dose CT Image Reconstruction With Joint Statistical and Learned Image Models

Low-dose CT image reconstruction has been a popular research topic in recent years. A typical reconstruction method based on post-log measurements is called penalized weighted-least squares (PWLS). Due to the underlying limitations of the post-log statistical model, the PWLS reconstruction quality i...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on medical imaging Jg. 39; H. 3; S. 729 - 741
Hauptverfasser:	Ye, Siqi, Ravishankar, Saiprasad, Long, Yong, Fessler, Jeffrey A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.03.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Algorithms Clustering Computed tomography Computer applications Data models Dictionaries efficient algorithms Humans Image coding Image processing Image Processing, Computer-Assisted - methods Image quality Image reconstruction Inverse problems Iterative methods Likelihood Functions Machine Learning Mathematical models nonconvex optimization Poisson Distribution Radiation Dosage shifted-Poisson model sparse representation Statistical analysis Statistical models Tomography, X-Ray Computed - methods transform learning Transforms Two dimensional displays X-ray imaging
ISSN:	0278-0062, 1558-254X, 1558-254X
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!