| Literature DB >> 33232767 |
Nicholas Dwork1, Corey A Baron2, Ethan M I Johnson3, Daniel O'Connor4, John M Pauly5, Peder E Z Larson6.
Abstract
We present a fast method for generating random samples according to a variable density poisson-disc distribution. A minimum parameter value is used to create a background grid array for keeping track of those points that might affect any new candidate point; this reduces the number of conflicts that must be checked before acceptance of a new point, thus reducing the number of computations required. We demonstrate the algorithm's ability to generate variable density poisson-disc sampling patterns according to a parameterized function, including patterns where the variations in density are a function of direction. We further show that these sampling patterns are appropriate for compressed sensing applications. Finally, we present a method to generate patterns with a specific acceleration rate.Entities:
Keywords: Compressed sensing; Parallel imaging; Poisson disc; Sampling
Mesh:
Year: 2020 PMID: 33232767 PMCID: PMC7878411 DOI: 10.1016/j.mri.2020.11.012
Source DB: PubMed Journal: Magn Reson Imaging ISSN: 0730-725X Impact factor: 2.546