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Dynamic SPECT reconstruction with temporal edge correlation
| Content Provider | Scilit |
|---|---|
| Author | Ding, Qiaoqiao Burger, Martin Zhang, Xiaoqun |
| Copyright Year | 2017 |
| Description | Journal: Inverse Problems In dynamic imaging, a key challenge is to reconstruct image sequences with high temporal resolution from strong undersampling projections due to a relatively slow data acquisition speed. In this paper, we propose a variational model using the infimal convolution of Bregman distance with respect to total variation to model edge dependence of sequential frames. The proposed model is solved via an alternating iterative scheme, for which each subproblem is convex and can be solved by existing algorithms. The proposed model is formulated under both Gaussian and Poisson noise assumption and the simulation on two sets of dynamic images shows the advantage of the proposed method compared to previous methods. |
| Related Links | http://arxiv.org/pdf/1707.00158 http://iopscience.iop.org/article/10.1088/1361-6420/aa9a94/pdf |
| ISSN | 02665611 |
| e-ISSN | 13616420 |
| DOI | 10.1088/1361-6420/aa9a94 |
| Journal | Inverse Problems |
| Issue Number | 1 |
| Volume Number | 34 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2017-12-13 |
| Access Restriction | Open |
| Subject Keyword | Journal: Inverse Problems Applied Mathematics Variation To Model |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Theoretical Computer Science Signal Processing Mathematical Physics Computer Science Applications |
