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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ma, J. Huang, J. Zhang, H. Feng, Q. Liang, Z. Lu, H. Chen, W. |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Radiology, State University of New York, Stony Brook, 11794 USA (Liang, Z.) || Department of Biomedical Engineering, Fourth Military Medical University, Xi'An, Shaanxi 710032 China (Lu, H.) || School of Biomedical Engineering the Southern Medical University, Guangzhou 510515 China (Ma, J.) || School of Biomedical Engineering, Southern Medical University, Guangzhou 510515 China (Huang, J.; Zhang, H.; Feng, Q.; Chen, W.) |
| Abstract | Low-dose computed tomography (CT) reconstruction is a significant concern in CT imaging field. Currently, besides CT manufacturers adapted hardware techniques and optimized scan protocols to reduce the X-ray dose, algorithm-based low-dose CT reconstruction methods have been exploited extensively. However, for achieving high-quality algorithm-based low-dose CT reconstruction, there exist several challenges due to the excessive noise in low-dose projection data and the complex noise and artifacts characteristics in low-dose CT image. Statistical iterative reconstruction (SIR) methods have shown the potential to achieve a superior noise-resolution tradeoff as compared to analytical reconstruction techniques, however a main drawback of SIR is the computational burden associated with the multiple reprojection and back-projection operation cycles through the image domain. In this study, we propose an algorithm-based low-dose CT image reconstruction framework, which by making full use of the advantages of both the low-dose CT projection/sinogram data recovery and advanced edge-preserving CT image restoration. Simulated experimental results demonstrate that the present framework can yield image with better quality comparable to the obtained with the existing methods. |
| Starting Page | 856 |
| Ending Page | 857 |
| File Size | 415317 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781457721762 |
| e-ISBN | 9781457721779 |
| e-ISBN | 9781457721755 |
| DOI | 10.1109/BHI.2012.6211721 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-01-05 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computed tomography Image reconstruction Noise X-ray imaging Biomedical imaging Image restoration |
| Content Type | Text |
| Resource Type | Article |
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