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...

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Bibliographic Details
Published in:	IEEE transactions on medical imaging Vol. 39; no. 3; pp. 729 - 741
Main Authors:	Ye, Siqi, Ravishankar, Saiprasad, Long, Yong, Fessler, Jeffrey A.
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.03.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
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