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Improved Compressed Sensing-Based Algorithm for Sparse-View CT Image Reconstruction
Joint Authors
Carter, Yasmin
Zhu, Zangen
Babyn, Paul
Cooper, David
Wahid, Khan A.
Pratt, Isaac
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-31
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
In computed tomography (CT), there are many situations where reconstruction has to be performed with sparse-view data.
In sparse-view CT imaging, strong streak artifacts may appear in conventionally reconstructed images due to limited sampling rate that compromises image quality.
Compressed sensing (CS) algorithm has shown potential to accurately recover images from highly undersampled data.
In the past few years, total-variation-(TV-) based compressed sensing algorithms have been proposed to suppress the streak artifact in CT image reconstruction.
In this paper, we propose an efficient compressed sensing-based algorithm for CT image reconstruction from few-view data where we simultaneously minimize three parameters: the ℓ1 norm, total variation, and a least squares measure.
The main feature of our algorithm is the use of two sparsity transforms—discrete wavelet transform and discrete gradient transform.
Experiments have been conducted using simulated phantoms and clinical data to evaluate the performance of the proposed algorithm.
The results using the proposed scheme show much smaller streaking artifacts and reconstruction errors than other conventional methods.
American Psychological Association (APA)
Zhu, Zangen& Wahid, Khan A.& Babyn, Paul& Cooper, David& Pratt, Isaac& Carter, Yasmin. 2013. Improved Compressed Sensing-Based Algorithm for Sparse-View CT Image Reconstruction. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-452812
Modern Language Association (MLA)
Zhu, Zangen…[et al.]. Improved Compressed Sensing-Based Algorithm for Sparse-View CT Image Reconstruction. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-15.
https://search.emarefa.net/detail/BIM-452812
American Medical Association (AMA)
Zhu, Zangen& Wahid, Khan A.& Babyn, Paul& Cooper, David& Pratt, Isaac& Carter, Yasmin. Improved Compressed Sensing-Based Algorithm for Sparse-View CT Image Reconstruction. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-452812
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-452812