Registration of organs with sliding interfaces and changing topologies

Floris F. Berendsen; Alexis N. T. J. Kotte; Max A. Viergever; Josien P. W. Pluim

doi:10.1117/12.2043447

21 March 2014 Registration of organs with sliding interfaces and changing topologies

Floris F. Berendsen, Alexis N. T. J. Kotte, Max A. Viergever, Josien P. W. Pluim

Proceedings Volume 9034, Medical Imaging 2014: Image Processing; 90340E (2014) https://doi.org/10.1117/12.2043447
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

Smoothness and continuity assumptions on the deformation field in deformable image registration do not hold for applications where the imaged objects have sliding interfaces. Recent extensions to deformable image registration that accommodate for sliding motion of organs are limited to sliding motion along approximately planar surfaces or cannot model sliding that changes the topological configuration in case of multiple organs. We propose a new extension to free-form image registration that is not limited in this way. Our method uses a transformation model that consists of uniform B-spline transformations for each organ region separately, which is based on segmentation of one image. Since this model can create overlapping regions or gaps between regions, we introduce a penalty term that minimizes this undesired effect. The penalty term acts on the surfaces of the organ regions and is optimized simultaneously with the image similarity. To evaluate our method registrations were performed on publicly available inhale-exhale CT scans for which performances of other methods are known. Target registration errors are computed on dense landmark sets that are available with these datasets. On these data our method outperforms the other methods in terms of target registration error and, where applicable, also in terms of overlap and gap volumes. The approximation of the other methods of sliding motion along planar surfaces is reasonably well suited for the motion present in the lung data. The ability of our method to handle sliding along curved boundaries and for changing region topology configurations was demonstrated on synthetic images.

Citation Download Citation

Floris F. Berendsen, Alexis N. T. J. Kotte, Max A. Viergever, and Josien P. W. Pluim "Registration of organs with sliding interfaces and changing topologies", Proc. SPIE 9034, Medical Imaging 2014: Image Processing, 90340E (21 March 2014); https://doi.org/10.1117/12.2043447

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available