2016-12-16
The Design of SuperElastix - A Unifying Framework for a Wide Range of Image Registration Methodologies
Publication
Publication
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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doi.org/10.1109/CVPRW.2016.69, hdl.handle.net/1765/95650 | |
29th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2016 | |
Organisation | Biomedical Imaging Group Rotterdam |
Berendsen, F., Marstal, 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 |