Parallel Magnetic Resonance Imaging reconstruction problems using wavelet representations (2010)
Abstract / truncated to 115 words
To reduce scanning time or improve spatio-temporal resolution in some MRI applications, parallel MRI acquisition techniques with multiple coils have emerged since the early 90’s as powerful methods. In these techniques, MRI images have to be reconstructed from ac- quired undersampled “k-space” data. To this end, several reconstruction techniques have been proposed such as the widely-used SENSitivity Encoding (SENSE) method. However, the reconstructed images generally present artifacts due to the noise corrupting the ob- served data and coil sensitivity profile estimation errors. In this work, we present novel SENSE-based reconstruction methods which proceed with regularization in the complex wavelet domain so as to promote the sparsity of the solution. These methods achieve ac- curate image ...
MRI – pmri – fmri – restoration – regularization – reconstruction – convex optimization – proximity operators – complex-valued signals – MCMC – parameter estimation
Information
- Author
- Lotfi CHAARI
- Institution
- University Paris-Est
- Supervisors
- Publication Year
- 2010
- Upload Date
- Dec. 9, 2011
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