Smoothed l 0 Norm Regularization for Sparse-View X-Ray CT Reconstruction
Joint Authors
Zhang, Cheng
Li, Ming
Guan, Yihui
Peng, Chengtao
Xu, Pin
Sun, Mingshan
Zheng, Jian
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-20
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Low-dose computed tomography (CT) reconstruction is a challenging problem in medical imaging.
To complement the standard filtered back-projection (FBP) reconstruction, sparse regularization reconstruction gains more and more research attention, as it promises to reduce radiation dose, suppress artifacts, and improve noise properties.
In this work, we present an iterative reconstruction approach using improved smoothed l 0 (SL0) norm regularization which is used to approximate l 0 norm by a family of continuous functions to fully exploit the sparseness of the image gradient.
Due to the excellent sparse representation of the reconstruction signal, the desired tissue details are preserved in the resulting images.
To evaluate the performance of the proposed SL0 regularization method, we reconstruct the simulated dataset acquired from the Shepp-Logan phantom and clinical head slice image.
Additional experimental verification is also performed with two real datasets from scanned animal experiment.
Compared to the referenced FBP reconstruction and the total variation (TV) regularization reconstruction, the results clearly reveal that the presented method has characteristic strengths.
In particular, it improves reconstruction quality via reducing noise while preserving anatomical features.
American Psychological Association (APA)
Li, Ming& Zhang, Cheng& Peng, Chengtao& Guan, Yihui& Xu, Pin& Sun, Mingshan…[et al.]. 2016. Smoothed l 0 Norm Regularization for Sparse-View X-Ray CT Reconstruction. BioMed Research International،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1097050
Modern Language Association (MLA)
Li, Ming…[et al.]. Smoothed l 0 Norm Regularization for Sparse-View X-Ray CT Reconstruction. BioMed Research International No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1097050
American Medical Association (AMA)
Li, Ming& Zhang, Cheng& Peng, Chengtao& Guan, Yihui& Xu, Pin& Sun, Mingshan…[et al.]. Smoothed l 0 Norm Regularization for Sparse-View X-Ray CT Reconstruction. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1097050
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1097050