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Multilevel 2D-3D intensity-based image registration

: Lange, A.; Heldmann, S.


Špiclin, Ž.:
Biomedical Image Registration. 9th International Workshop, WBIR 2020. Proceedings : Portorož, Slovenia, December 1-2, 2020
Cham: Springer Nature, 2020 (Lecture Notes in Computer Science 12120)
ISBN: 978-3-030-50119-8 (Print)
ISBN: 978-3-030-50120-4 (Online)
International Workshop on Biomedical Image Registration (WBIR) <9, 2020, Portoroz/Slovenia>
Fraunhofer MEVIS ()

2D-3D image registration is an important task for computer-aided minimally invasive vascular therapies. A crucial component for practical image registration is the use of multilevel strategies to avoid local optima and to speed-up runtime. However, due to the different dimensionalities of the 2D fixed and 3D moving image, the setup of multilevel strategies is not straightforward. In this work, we propose an intensity-driven 2D-3D multiresolution registration approach using the normalized gradient fields (NGF) distance measure. We discuss and empirically analyze the impact on the choice of 2D and 3D image resolutions. Furthermore, we show that our approach produces results that are comparable or superior to other state-of-the-art methods.