Conference proceeding
Accelerated MRI using iterative non-local shrinkage
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vol.2014, pp.1545-1548
08/2014
DOI: 10.1109/EMBC.2014.6943897
PMCID: PMC4411244
PMID: 25570265
Abstract
We introduce a fast iterative non-local shrinkage algorithm to recover MRI data from undersampled Fourier measurements. This approach is enabled by the reformulation of current non-local schemes as an alternating algorithm to minimize a global criterion. The proposed algorithm alternates between a non-local shrinkage step and a quadratic subproblem. The resulting algorithm is observed to be considerably faster than current alternating non-local algorithms. We use efficient continuation strategies to minimize local minima issues. The comparisons of the proposed scheme with state-of-the-art regularization schemes show a considerable reduction in alias artifacts and preservation of edges.
Details
- Title: Subtitle
- Accelerated MRI using iterative non-local shrinkage
- Creators
- Yasir Q Mohsin - Univ. of Iowa, Iowa City, IA, USAGregory Ongie - Univ. of Iowa, Iowa City, IA, USAMathews Jacob - Univ. of Iowa, Iowa City, IA, USA
- Resource Type
- Conference proceeding
- Publication Details
- 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vol.2014, pp.1545-1548
- DOI
- 10.1109/EMBC.2014.6943897
- PMID
- 25570265
- PMCID
- PMC4411244
- NLM abbreviation
- Proc Annu Int Conf IEEE Eng Med Biol Soc (2003)
- ISSN
- 1094-687X
- eISSN
- 1558-4615
- Publisher
- IEEE
- Language
- English
- Date published
- 08/2014
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Iowa Neuroscience Institute; Radiation Oncology
- Record Identifier
- 9984070505202771
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