Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: PET-MRI Joint Reconstruction by Joint Sparsity Based Tight Frame
  Regularization   Recent technical advances lead to the coupling of PET and MRI scanners,
enabling to acquire functional and anatomical data simultaneously. In this
paper, we propose a tight frame based PET-MRI joint reconstruction model via
the joint sparsity of tight frame coefficients. In addition, a non-convex
balanced approach is adopted to take the different regularities of PET and MRI
images into account. To solve the nonconvex and nonsmooth model, a proximal
alternating minimization algorithm is proposed, and the global convergence is
present based on Kurdyka-Lojasiewicz property. Finally, the numerical
experiments show that the our proposed models achieve better performance over
the existing PET-MRI joint reconstruction models.

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The categories of this paper are: hep-th
3
The categories of this paper are: physics
34
The categories of this paper are: chem-ph
15
The categories of this paper are: nucl-ex
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The categories of this paper are: q-alg
29
The categories of this paper are: funct-an
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The categories of this paper are: atom-ph
21
The categories of this paper are: adap-org
18
The categories of this paper are: econ
10
The categories of this paper are: q-bio
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The categories of this paper are: patt-sol
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The categories of this paper are: acc-phys
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The categories of this paper are: hep-lat
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The categories of this paper are: eess
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The categories of this paper are: gr-qc
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The categories of this paper are: astro-ph