Improving Robustness for Inter-Subject Medical Image Registration Using a Feature-Based Approach
Paper in proceedings, 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.

features

robust estimation

Registration

Author

Linus Svärm

Lund University

Olof Enqvist

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Imaging and Image Analysis

Fredrik Kahl

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Imaging and Image Analysis

Magnus Oskarsson

Lund University

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, United States, 16-19 April 2015

1945-8452 (eISSN)

824-828

Subject Categories

Computer Vision and Robotics (Autonomous Systems)

Medical Image Processing

DOI

10.1109/ISBI.2015.7163998

ISBN

978-1-4799-2374-8

More information

Latest update

3/2/2018 9