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Contents
- 4.1 Introduction
- 4.2 Parallel Imaging as an Inverse Problem .
- 4.2.1Forward Model ………
- 4.2.2Image Reconstruction ………
- 4.2.3Regularization……
- 4.2.4Discretization………………
- 4.2.5Numerical Optimization …
- 4.3 Autocalibration ……
- 4.3.1 Nonlinear Inverse Reconstruction .
- 4.3.2 Calibration Matrix ………………………………
- 4.3.3ESPIRiT………………………
- 4.4 Sampling and reconstruction in k-space
- 4.5 Compressed sensing Parallel Imaging
- 4.6 Conclusion
4.1 Introduction
4.2 Parallel Imaging as an Inverse Problem .
4.2.1Forward Model ………
4.2.2Image Reconstruction ………
4.2.3Regularization……
4.2.4Discretization………………
4.2.5Numerical Optimization …
4.3 Autocalibration ……
4.3.1 Nonlinear Inverse Reconstruction .
4.3.2 Calibration Matrix ………………………………
4.3.3ESPIRiT………………………
4.4 Sampling and reconstruction in k-space
4.5 Compressed sensing Parallel Imaging
4.6 Conclusion
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