Sparse-view tomography via displacement function interpolation
Sparse-view tomography has many applications such as in low-dose computed tomography (CT). Using under-sampled data, a perfect image is not expected. The goal of this paper is to obtain a tomographic image that is better than the naïve filtered backprojection (FBP) reconstruction that uses linear i...
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| Format: | Article |
| Language: | English |
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Springer Science and Business Media B.V.
2019
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| Online Access: | View Fulltext in Publisher |