Alternating Direction Method of Multiplier for Tomography With Nonlocal Regularizers

The ordered subset expectation maximization (OSEM) algorithm approximates the gradient of a likelihood function using a subset of projections instead of using all projections so that fast image reconstruction is possible for emission and transmission tomography such as SPECT, PET, and CT. However, O...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on medical imaging Jg. 33; H. 10; S. 1960 - 1968
Hauptverfasser:	Se Young Chun, Dewaraja, Yuni K., Fessler, Jeffrey A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.10.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Alternating direction method of multiplier Approximation algorithms Approximation methods Computer Simulation Convergence Emission emission tomography Image Processing, Computer-Assisted - methods Image reconstruction Mathematical analysis Mathematical models Multipliers nonlocal (NL) regularizer ordered-subset expectation maximization (OSEM) Phantoms, Imaging Projection Single photon emission computed tomography Tomography Tomography, Emission-Computed - methods Vectors
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!