Title | ||
---|---|---|
Sinogram Blurring Matrix Estimation From Point Sources Measurements With Rank-One Approximation for Fully 3-D PET. |
Abstract | ||
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An accurate system matrix is essential in positron emission tomography (PET) for reconstructing high quality images. To reduce storage size and image reconstruction time, we factor the system matrix into a product of a geometry projection matrix and a sinogram blurring matrix. The geometric projection matrix is computed analytically and the sinogram blurring matrix is estimated from point source m... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TMI.2017.2711479 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Kernel,Estimation,Detectors,Photonics,Positron emission tomography,Two dimensional displays,Three-dimensional displays | Kernel (linear algebra),Iterative reconstruction,Field of view,Computer vision,Matrix (mathematics),Image quality,Projection (linear algebra),Artificial intelligence,Scanner,Kernel (image processing),Mathematics | Journal |
Volume | Issue | ISSN |
36 | 10 | 0278-0062 |
Citations | PageRank | References |
3 | 0.47 | 9 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kuang Gong | 1 | 23 | 5.10 |
Jian Zhou | 2 | 4 | 1.84 |
Michel Tohme | 3 | 3 | 0.47 |
Martin Judenhofer | 4 | 3 | 0.47 |
Yongfeng Yang | 5 | 6 | 2.21 |
Jinyi Qi | 6 | 284 | 35.82 |