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Accelerated Cardiovascular Magnetic Resonance Imaging Using Radial Acquisition with Compressed Sensing

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Figure

Figure 2.1: 3D radial sampling trajectory. Bold points demonstrate the end pointsof the projection lines in one example interleaf
Figure 2.2: Basic idea of gridding algorithm. The radial sample points appear as reddots
Figure 2.3: 3D radial reconstruction using compressed sensing. The iterative processconsists of two steps of data consistency and thresholding
Figure 2.4: Comparison of conventional 3D gridding reconstruction vs. 3D iterativeCS reconstruction with different sparsity regularizatuions (image domain and waveletdomain) for a 3D radial acquisition using four different sampling densities (40%, 30%,20%, 1
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