A large diversity of image registration methodologies has emerged from the research community. The scattering of methods over toolboxes impedes rigorous comparison to select the appropriate method for a given application. Toolboxes typically tailor their implementations to a mathematical registration paradigm, which makes internal functionality nonexchangeable. Subsequently, this forms a barrier for adoption of registration technology in the clinic. We therefore propose a unifying, role-based software design that can integrate a broad range of functional registration components. These components can be configured into an algorithmic network via a single highlevel user interface. A generic component handshake mechanism provides users feedback on incompatibilities. We demonstrate the viability of our design by incorporating two paradigms from different code bases. The implementation is done in C++ and is available as open source. The progress of embedding more paradigms can be followed via https://github.com/kaspermarstal/SuperElastix.

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Persistent URL dx.doi.org/10.1109/CVPRW.2016.69, hdl.handle.net/1765/95650
Conference 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2016
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Berendsen, F.F, Marstal, K.K, Klein, S, & Staring, M. (2016). The Design of SuperElastix - A Unifying Framework for a Wide Range of Image Registration Methodologies. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp. 498–506). doi:10.1109/CVPRW.2016.69