Burger M (2018)
Publication Status: Published
Publication Type: Journal article
Publication year: 2018
Publisher: IOP PUBLISHING LTD
Book Volume: 34
Journal Issue: 1
URI: https://arxiv.org/pdf/1707.00158.pdf
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.
APA:
Burger, M. (2018). Dynamic SPECT reconstruction with temporal edge correlation. Inverse Problems, 34(1). https://dx.doi.org/10.1088/1361-6420/aa9a94
MLA:
Burger, Martin. "Dynamic SPECT reconstruction with temporal edge correlation." Inverse Problems 34.1 (2018).
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