Conference proceeding
Adaptive structured low rank algorithm for MR image recovery
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Vol.2018-, pp.1260-1263
04/2018
DOI: 10.1109/ISBI.2018.8363800
PMID: 33623637
Abstract
We introduce an adaptive structured low rank algorithm to recover MR images from their undersampled Fourier coefficients. The image is modeled as a combination of a piece-wise constant component and a piecewise linear component. The Fourier coefficients of each component satisfy an annihilation relation, which results in a structured Toeplitz matrix. We exploit the low rank property of the matrices to formulate a combined regularized optimization problem, which can be solved efficiently. Numerical experiments indicate that the proposed algorithm provides improved recovery performance over the previously proposed algorithms.
Details
- Title: Subtitle
- Adaptive structured low rank algorithm for MR image recovery
- Creators
- Yue Hu - Department of Electronics and Information Technology, Harbin Institute of Technology, Harbin, ChinaXiaohan Liu - Department of Electronics and Information Technology, Harbin Institute of Technology, Harbin, ChinaMathews Jacob - Department of Electronics and Information Technology, Harbin Institute of Technology, Harbin, China
- Resource Type
- Conference proceeding
- Publication Details
- 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Vol.2018-, pp.1260-1263
- DOI
- 10.1109/ISBI.2018.8363800
- PMID
- 33623637
- NLM abbreviation
- Proc IEEE Int Symp Biomed Imaging
- ISSN
- 1945-7928
- eISSN
- 1945-8452
- Publisher
- IEEE
- Language
- English
- Date published
- 04/2018
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Iowa Neuroscience Institute; Radiation Oncology
- Record Identifier
- 9984070574202771
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