Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Sparse MRI for motion correction   MR image sparsity/compressibility has been widely exploited for imaging
acceleration with the development of compressed sensing. A sparsity-based
approach to rigid-body motion correction is presented for the first time in
this paper. A motion is sought after such that the compensated MR image is
maximally sparse/compressible among the infinite candidates. Iterative
algorithms are proposed that jointly estimate the motion and the image content.
The proposed method has a lot of merits, such as no need of additional data and
loose requirement for the sampling sequence. Promising results are presented to
demonstrate its performance.

5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
20
The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph
23
The categories of this paper are: solv-int
8
The categories of this paper are: hep-ex
9
The categories of this paper are: nlin
2
The categories of this paper are: math
35
The categories of this paper are: mtrl-th
22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
31
The categories of this paper are: ao-sci