Combining Sparse and Dense Features to Improve Multi-Modal Registration for Brain DTI Images - Moldovanu, Simona; Toporaș, Lenuta Pană; Biswas, Anjan; Moraru, Luminita (Entropy (Basel, Switzerland), 2020)
Keywords: Accuracy; Algorithms; Anisotropy; Brain; Computing costs; Datasets; Entropy; Error analysis; Feature extraction; fiducial registration error; histogram-oriented gradients; Histograms; Image acquisition; Image registration; Linear transformations; Magnetic resonance imaging; Medical diagnosis; Medical imaging; mutual information; Operators (mathematics); Optimization; Pixels; Registration; Robustness (mathematics); sparse and dense features; Stroke; Target recognition; Tensors; mutual information; histogram-oriented gradients; sparse and dense features; image registration; fiducial registration error