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The Dixon-water image and the MR-AC attenuation maps were reconstructed on 192 × 126 × 128 matrices (2.6 × 2.6 × 3.1 mm3 voxels).
Kohonen maps were reconstructed and classifiers were re-applied.
Custom genetic maps were reconstructed with CRIMAP software [ 56].
Susceptibility maps were reconstructed from original phase data.
Apparent diffusion coefficient (ADC) maps were reconstructed using this sequence.
Attenuation maps were reconstructed using the ordered-subset convex algorithm [ 36] with eight subsets and 30 iterations.
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Orthogonal strain maps are reconstructed from the sectioned hybrid dense sensor network by assuming different bidirectional shape functions and are solved using the least squares estimator.
Many 3D maps are reconstructed for the variance analysis; the most representative ones are then used as initial models for refinement.
In PTAM, the initial map is reconstructed using the five-point algorithm [28].
Finally, we design an effective mechanism for credit feature maps selection depending on aggregation degree, and the final saliency map is reconstructed by fusing credit feature maps.
An apparent diffusion coefficient (ADC) map was reconstructed for all diffusion-weighted imaging sequences, and subtraction imaging was generated for all DCE sequences.
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