Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Fast 3D Variable-FOV Reconstruction for Parallel Imaging with Localized
  Sensitivities   Several successful iterative approaches have recently been proposed for
parallel-imaging reconstructions of variable-density (VD) acquisitions, but
they often induce substantial computational burden for non-Cartesian data. Here
we propose a generalized variable-FOV PILS reconstruction 3D VD Cartesian and
non-Cartesian data. The proposed method separates k-space into non-intersecting
annuli based on sampling density, and sets the 3D reconstruction FOV for each
annulus based on the respective sampling density. The variable-FOV method is
compared against conventional gridding, PILS, and ESPIRiT reconstructions.
Results indicate that the proposed method yields better artifact suppression
compared to gridding and PILS, and improves noise conditioning relative to
ESPIRiT, enabling fast and high-quality reconstructions of 3D datasets.

12
The categories of this paper are: nucl-th
4
The categories of this paper are: cond-mat
6
The categories of this paper are: astro-ph
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg
34
The categories of this paper are: chem-ph
10
The categories of this paper are: q-bio
19
The categories of this paper are: eess
26
The categories of this paper are: bayes-an
28
The categories of this paper are: alg-geom
1
The categories of this paper are: cs
25
The categories of this paper are: patt-sol
31
The categories of this paper are: ao-sci
29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
2
The categories of this paper are: math