Conference proceeding
A sparse reconstruction algorithm for parallel spiral MR spectroscopic imaging
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.93-96
03/2011
DOI: 10.1109/ISBI.2011.5872362
Abstract
In this paper we propose an efficient sparse reconstruction scheme for the parallel MRSI data acquired using a fast spiral scheme. We model the system using the MR priors estimated from the water reference scan. In our sparse reconstruction approach, we minimize the total variation and ℓ 1 norm of the compartmentalized MRSI data in order to reduce noise, inhomogeneity distortions, and spectral leakage. We demonstrate significant improvement for in vivo brain results when compared to classical regularized SENSE MRSI reconstruction.
Details
- Title: Subtitle
- A sparse reconstruction algorithm for parallel spiral MR spectroscopic imaging
- Creators
- R Eslami - Dept. of Biomed. Eng., Univ. of Rochester, Rochester, NY, USAM Jacob - Dept. of Biomed. Eng., Univ. of Rochester, Rochester, NY, USA
- Resource Type
- Conference proceeding
- Publication Details
- 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.93-96
- Publisher
- IEEE
- DOI
- 10.1109/ISBI.2011.5872362
- ISSN
- 1945-7928
- eISSN
- 1945-8452
- Language
- English
- Date published
- 03/2011
- Academic Unit
- Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering; Radiology; Radiation Oncology; Iowa Neuroscience Institute
- Record Identifier
- 9984070976802771
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