Conference proceeding
A variable splitting based algorithm for fast multi-coil blind compressed sensing MRI reconstruction
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vol.2014, pp.2400-2403
08/2014
DOI: 10.1109/EMBC.2014.6944105
PMCID: PMC4411240
PMID: 25570473
Abstract
Recent work on blind compressed sensing (BCS) has shown that exploiting sparsity in dictionaries that are learnt directly from the data at hand can outperform compressed sensing (CS) that uses fixed dictionaries. A challenge with BCS however is the large computational complexity during its optimization, which limits its practical use in several MRI applications. In this paper, we propose a novel optimization algorithm that utilize variable splitting strategies to significantly improve the convergence speed of the BCS optimization. The splitting allows us to efficiently decouple the sparse coefficient, and dictionary update steps from the data fidelity term, resulting in subproblems that take closed form analytical solutions, which otherwise require slower iterative conjugate gradient algorithms. Through experiments on multi coil parametric MRI data, we demonstrate the superior performance of BCS over conventional CS schemes, while achieving convergence speed up factors of over 10 fold over the previously proposed implementation of the BCS algorithm.
Details
- Title: Subtitle
- A variable splitting based algorithm for fast multi-coil blind compressed sensing MRI reconstruction
- Creators
- Sampada Bhave - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USASajan Goud Lingala - Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USAMathews Jacob - Dept. of Electr. & Comput. Eng., 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.2400-2403
- DOI
- 10.1109/EMBC.2014.6944105
- PMID
- 25570473
- PMCID
- PMC4411240
- 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
- 9984070116102771
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