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An Improved Total Variation Minimization Method Using Prior Images and Split-Bregman Method in CT Reconstruction
Joint Authors
He, Peng
Wei, Biao
Feng, Peng
Chen, Mianyi
Deng, Lu-zhen
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-25
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Compressive Sensing (CS) theory has great potential for reconstructing Computed Tomography (CT) images from sparse-views projection data and Total Variation- (TV-) based CT reconstruction method is very popular.
However, it does not directly incorporate prior images into the reconstruction.
To improve the quality of reconstructed images, this paper proposed an improved TV minimization method using prior images and Split-Bregman method in CT reconstruction, which uses prior images to obtain valuable previous information and promote the subsequent imaging process.
The images obtained asynchronously were registered via Locally Linear Embedding (LLE).
To validate the method, two studies were performed.
Numerical simulation using an abdomen phantom has been used to demonstrate that the proposed method enables accurate reconstruction of image objects under sparse projection data.
A real dataset was used to further validate the method.
American Psychological Association (APA)
Deng, Lu-zhen& Feng, Peng& Chen, Mianyi& He, Peng& Wei, Biao. 2016. An Improved Total Variation Minimization Method Using Prior Images and Split-Bregman Method in CT Reconstruction. BioMed Research International،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1097233
Modern Language Association (MLA)
Deng, Lu-zhen…[et al.]. An Improved Total Variation Minimization Method Using Prior Images and Split-Bregman Method in CT Reconstruction. BioMed Research International No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1097233
American Medical Association (AMA)
Deng, Lu-zhen& Feng, Peng& Chen, Mianyi& He, Peng& Wei, Biao. An Improved Total Variation Minimization Method Using Prior Images and Split-Bregman Method in CT Reconstruction. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1097233
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1097233