Multilevel 2d-3d intensity-based image registration

Annkristin Lange*, Stefan Heldmann

*Corresponding author for this work


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.

Original languageEnglish
Title of host publicationWBIR 2020: Biomedical Image Registration
EditorsŽiga Špiclin, Jamie McClelland, Jan Kybic, Orcun Goksel
Number of pages10
Volume12120 LNCS
PublisherSpringer, Cham
Publication date09.06.2020
ISBN (Print)978-3-030-50119-8
ISBN (Electronic)978-3-030-50120-4
Publication statusPublished - 09.06.2020
Event9th International Workshop on Biomedical Image Registration - Portoroz, Slovenia
Duration: 01.12.202002.12.2020
Conference number: 240939


Dive into the research topics of 'Multilevel 2d-3d intensity-based image registration'. Together they form a unique fingerprint.

Cite this