A CT Reconstruction Algorithm Based on L12 Regularization
Joint Authors
He, Peng
Wei, Biao
Mi, Deling
Chen, Mianyi
Deng, Lu-zhen
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-16
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Computed tomography (CT) reconstruction with low radiation dose is a significant research point in current medical CT field.
Compressed sensing has shown great potential reconstruct high-quality CT images from few-view or sparse-view data.
In this paper, we use the sparser L1/2 regularization operator to replace the traditional L1 regularization and combine the Split Bregman method to reconstruct CT images, which has good unbiasedness and can accelerate iterative convergence.
In the reconstruction experiments with simulation and real projection data, we analyze the quality of reconstructed images using different reconstruction methods in different projection angles and iteration numbers.
Compared with algebraic reconstruction technique (ART) and total variance (TV) based approaches, the proposed reconstruction algorithm can not only get better images with higher quality from few-view data but also need less iteration numbers.
American Psychological Association (APA)
Chen, Mianyi& Mi, Deling& He, Peng& Deng, Lu-zhen& Wei, Biao. 2014. A CT Reconstruction Algorithm Based on L12 Regularization. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-504327
Modern Language Association (MLA)
Chen, Mianyi…[et al.]. A CT Reconstruction Algorithm Based on L12 Regularization. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-504327
American Medical Association (AMA)
Chen, Mianyi& Mi, Deling& He, Peng& Deng, Lu-zhen& Wei, Biao. A CT Reconstruction Algorithm Based on L12 Regularization. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-504327
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-504327