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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bo Liu Abdelsalam, E. Jinhua Sheng Ying, L. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Electr. Eng. & Comput. Sci., Univ. of Wisconsin, Milwaukee, WI (Bo Liu) |
| Abstract | SENSE has been widely accepted and extensively studied in the community of parallel MRI. Although many regularization approaches have been developed to address the ill-conditioning problem for Cartesian SENSE, fewer efforts have been made to address this problem when the sampling trajectory is non-Cartesian. For non-Cartesian SENSE using the iterative conjugate gradient method, ill- conditioning can degrade not only the signal-to-noise ratio, but also the convergence behavior. This paper proposes a regularization technique for non-Cartesian SENSE using a multiscale wavelet model. The technique models the desired image as a random field whose wavelet transform coefficients obey a generalized Gaussian distribution. The effectiveness of the proposed method has been validated by in vivo experiments. |
| Starting Page | 1505 |
| Ending Page | 1508 |
| File Size | 392245 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424420025 |
| DOI | 10.1109/ISBI.2008.4541294 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-05-14 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Spirals Image reconstruction Magnetic resonance imaging Image sampling Iterative methods Gradient methods Degradation Signal to noise ratio Convergence Wavelet transforms wavelet transformation Spiral SENSE multiscale model-based regularization |
| Content Type | Text |
| Resource Type | Article |
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