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...

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Bibliographic Details
Published in:	IEEE transactions on medical imaging Vol. 33; no. 10; pp. 1960 - 1968
Main Authors:	Se Young Chun, Dewaraja, Yuni K., Fessler, Jeffrey A.
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.10.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
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