Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

THIS WEBPAGE IS DEPRECATED - please visit our new website

J. Rackerseder, M. Baust, R. Göbl, N. Navab, C. Hennersperger
Landmark-Free Initialization of Multi-Modal Image Registration
Bildverarbeitung fuer die Medizin (BVM), Luebeck, March 17-19, 2019. (bib)

To achieve convergence, nonlinear deformable image registration tasks of partial-view 3D ultrasound and MRI, as often seen in US guided interventions or retrospective studies thereof, need to be initialized. In clinical practice corresponding 3D landmarks are selected in both images. Performing this depends on the geometrical understanding of the targeted anatomy and the modality-specific appearance and is thus prone to error. %Establishing a common reference frame for is strongly influenced by its initialization, in order to converge. Therefore, we propose a novel landmark-free initialization procedure that is robust in terms of target area overlap (pixels where target area and US volume are superimposed before initialization) as well as image overlap (pixels where MRI and US are superimposed). The method only requires N low-resolution coarse segmentations as input, which in most cases can be obtained automatically or with minimal user interaction, such as few pre-labeled pixels. A euclidean distance transform is applied to these N label maps, creating a multi-class distance map for both images. This leads to a minimization problem, where these maps are registered by optimizing our proposed similarity measure via a modified gradient descent scheme, which prevents unstable behaviour. The proposed method was evaluated, showing a success rate of 100% for registration tasks with initial target area overlap over 10%. It also converges for all cases with image overlap of 30% or more.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each authors copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Edit | Attach | Refresh | Diffs | More | Revision r1.13 - 30 Jan 2019 - 15:16 - LeslieCasas

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif