Multilevel 2d-3d intensity-based image registration

Annkristin Lange*, Stefan Heldmann

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

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.

OriginalspracheEnglisch
TitelWBIR 2020: Biomedical Image Registration
Redakteure/-innenŽiga Špiclin, Jamie McClelland, Jan Kybic, Orcun Goksel
Seitenumfang10
Band12120 LNCS
Herausgeber (Verlag)Springer, Cham
Erscheinungsdatum09.06.2020
Seiten57-66
ISBN (Print)978-3-030-50119-8
ISBN (elektronisch)978-3-030-50120-4
DOIs
PublikationsstatusVeröffentlicht - 09.06.2020
Veranstaltung9th International Workshop on Biomedical Image Registration - Portoroz, Slowenien
Dauer: 01.12.202002.12.2020
Konferenznummer: 240939

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