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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gao Hongxia Luo Yinghao Chen Kewei Ma Ge Wu Lixuan |
| Copyright Year | 2015 |
| Description | Author affiliation: Sch. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China (Gao Hongxia; Luo Yinghao; Chen Kewei; Ma Ge; Wu Lixuan) |
| Abstract | More and more applications in industrial or medical CT have to adopt limited-angle projection data, such as restricted scanning, decreasing radiation dose and so on. Traditional reconstruction methods for incomplete projection data, including analytic reconstruction and iterative reconstruction, can't meet the demand of limited-angle reconstruction. To deal with TV reconstruction model's imbalance in reconstructing image information of different direction, this paper proposes a reconstruction model and its corresponding hybrid algorithm, which utilize horizontal direction gradient to assist TV reconstruction in vertical direction. Experiments results demonstrate the proposed method's effectiveness and performance in image reconstruction from limited-angle projection data. |
| Sponsorship | IEEE |
| Starting Page | 405 |
| Ending Page | 408 |
| File Size | 881849 |
| Page Count | 4 |
| File Format | |
| e-ISBN | 9781467367998 |
| DOI | 10.1109/BIBM.2015.7359715 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-11-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Integrated optics limited-angle projection data Gold Biomedical optical imaging hybrid algorithm Subspace constraints Optical imaging image reconstruction Optical noise Image reconstruction |
| Content Type | Text |
| Resource Type | Article |
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