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

robust estimation

features

Registration

Författare

Linus Svärm

Lunds Universitet

Olof Enqvist

Signaler och system, Signalbehandling och medicinsk teknik, Digitala bildsystem och bildanalys

Fredrik Kahl

Signaler och system, Signalbehandling och medicinsk teknik, Digitala bildsystem och bildanalys

Magnus Oskarsson

Lunds Universitet

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

1945-8452 (eISSN)

824-828

Ämneskategorier

Datorseende och robotik (autonoma system)

Medicinsk bildbehandling

DOI

10.1109/ISBI.2015.7163998

ISBN

978-1-4799-2374-8