Constrained magnetic resonance image reconstruction from incomplete frequency measurements
In this thesis, we develop constrained reconstructions methods to reconstruct high quality MR images from down-sampled k-space data by exploiting sparsity of MR images under the theory of Compressed Sensing. In the first work, we present an orthonormal-expansion L1 optimization technique to improve...
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| Format: | Thesis |
| Language: | English |
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2015
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| Online Access: | https://hdl.handle.net/10356/62104 |