Song hydra


УСТАНОВИТЬ ТОР БРАУЗЕР KALI LINUX HUDRA
Eldar, Gal Mazor, Miguel R. IEEE, The MR contrast matrix X is associated with the k-space measurements Y per column by the subsampled Fourier transform. Figure 2: Diagram of the proposed MRF reconstruction approach. During the training stage, synthesized dictionary entries are used as training signatures to train the designed 1D nonlocal residual CNN until the outputs approximate parameter values in LUT well. In this way, the network captures the signature-to-parameter mapping. During the testing stage, a low-rank based algorithm is used to restore the image stack, a matrix containing signatures in rows, from k-space measurements.
Then the restored signatures are input into the trained network to obtain corresponding tissue parameters directly. Figure 3: Testing on the anatomical dataset with full k-space sampling for comparing parameter restoration performance. Each subfigure shows the deviations of the estimation from the reference. Parameter mapping performance using HYDRA outperforms competing methods significantly, resulting in smaller deviations.
Figure 4: Visual results of testing on anatomical dataset with full k-space sampling for comparing parameter restoration performance. Top two rows correspond to T1 maps and residual errors while bottom two rows correspond to T2 maps and residual errors. HYDRA also outperforms previous networks. Skip to content. Star 6. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
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