Data‐driven optimization of sampling patterns for MR brain T1ρ mapping
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29445
Abstract: The goal of this study was to apply a fast data‐driven optimization algorithm, called bias‐accelerated subset selection, for MR brain T1ρ mapping to generate optimized sampling patterns (SPs) for compressed sensing reconstruction of brain 3D‐T1ρ… read more here.
Keywords: brain mapping; driven optimization; sampling patterns; brain ... See more keywords
Prediction of snow water equivalent using artificial neural network and adaptive neuro-fuzzy inference system with two sampling schemes in semi-arid region of Iran
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Mountain Science"
DOI: 10.1007/s11629-018-4875-8
Abstract: Direct measurement of snow water equivalent (SWE) in snow-dominated mountainous areas is difficult, thus its prediction is essential for water resources management in such areas. In addition, because of nonlinear trend of snow spatial distribution… read more here.
Keywords: sampling patterns; water; two sampling; snow water ... See more keywords
Optimising magnetic resonance sampling patterns for parametric characterisation.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of magnetic resonance"
DOI: 10.1016/j.jmr.2018.06.010
Abstract: Sampling strategies are often central to experimental design. Choosing efficiently which data to acquire can improve the estimation of parameters and reduce the acquisition time. This work is focused on designing optimal sampling patterns for… read more here.
Keywords: sampling patterns; acquisition time; magnetic resonance; time ... See more keywords
Sensing Matrix Design and Sparse Recovery on the Sphere and the Rotation Group
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2020.2973545
Abstract: In this article, the goal is to design deterministic sampling patterns on the sphere and the rotation group and, thereby, construct sensing matrices for sparse recovery of band-limited functions. It is first shown that random… read more here.
Keywords: sensing matrices; sampling patterns; coherence; rotation group ... See more keywords
A Comprehensive Theory and Variational Framework for Anti‐aliasing Sampling Patterns
Sign Up to like & getrecommendations! Published in 2020 at "Computer Graphics Forum"
DOI: 10.1111/cgf.14059
Abstract: In this paper, we provide a comprehensive theory of anti‐aliasing sampling patterns that explains and revises known results, and introduce a variational optimization framework to generate point patterns with any desired power spectra and anti‐aliasing… read more here.
Keywords: sampling patterns; aliasing sampling; framework; comprehensive theory ... See more keywords