Deriving anatomical context from 4D ultrasound
Müller M, Helljesen LE, Prevost R, Viola I, Nylund K, Gilja OH, Navab N, Wein W (2014)
Publication Type: Conference contribution
Publication year: 2014
Publisher: Eurographics Association
Pages Range: 173-180
Conference Proceedings Title: Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2014
Event location: Vienna, AUT
ISBN: 9783905674620
Abstract
Real-time three-dimensional (also known as 4D) ultrasound imaging using matrix array probes has the potential to create large-volume information of entire organs such as the liver without external tracking hardware. This information can in turn be placed into the context of a CT or MRI scan of the same patient. However for such an approach many image processing challenges need to be overcome and sources of error addressed, including reconstruction drift, anatomical deformations, varying appearance of anatomy, and imaging artifacts. In this work, we present a fully automatic system including robust image-based ultrasound tracking, a novel learning-based global initialization of the anatomical context, and joint mono- and multi-modal registration. In an evaluation on 4D US sequences and MRI scans of eight volunteers we achieve automatic reconstruction and registration without any user interaction, assess the registration errors based on physician-defined landmarks, and demonstrate real-time tracking of free-breathing sequences.
Involved external institutions
ImFusion GmbH
Germany (DE)
Haukeland University Hospital / Haukeland universitetssykehus
Norway (NO)
Technische Universität Wien / Vienna University of Technology
Austria (AT)
Technische Universität München (TUM)
Germany (DE)
Germany (DE)
Haukeland University Hospital / Haukeland universitetssykehus
Norway (NO)
Technische Universität Wien / Vienna University of Technology
Austria (AT)
Technische Universität München (TUM)
Germany (DE)
How to cite
APA:
Müller, M., Helljesen, L.E., Prevost, R., Viola, I., Nylund, K., Gilja, O.H.,... Wein, W. (2014). Deriving anatomical context from 4D ultrasound. In Ivan Viola, Katja Buhler, Timo Ropinski (Eds.), Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2014 (pp. 173-180). Vienna, AUT: Eurographics Association.
MLA:
Müller, M., et al. "Deriving anatomical context from 4D ultrasound." Proceedings of the 2014 Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2014, Vienna, AUT Ed. Ivan Viola, Katja Buhler, Timo Ropinski, Eurographics Association, 2014. 173-180.
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