Improving Robustness for Inter-Subject Medical Image Registration Using a Feature-Based Approach

Paper in proceeding, 2015

We propose new feature-based methods for rigid and affine image registration. These are compared to state-of-the-art intensity-based techniques as well as existing feature-based methods. On challenging datasets of brain MR and whole-body CT images, a significant improvement in terms of speed, robustness to outlier structures and dependence on initialization is shown.