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dc.contributor.authorMüller, Markusen_US
dc.contributor.authorHelljesen, Linn E. S.en_US
dc.contributor.authorPrevost, Raphaelen_US
dc.contributor.authorViola, Ivanen_US
dc.contributor.authorNylund, Kimen_US
dc.contributor.authorGilja, Odd Helgeen_US
dc.contributor.authorNavab, Nassiren_US
dc.contributor.authorWein, Wolfgangen_US
dc.contributor.editorIvan Viola and Katja Buehler and Timo Ropinskien_US
dc.date.accessioned2014-12-16T07:37:20Z
dc.date.available2014-12-16T07:37:20Z
dc.date.issued2014en_US
dc.identifier.isbn978-3-905674-62-0en_US
dc.identifier.issn2070-5778en_US
dc.identifier.urihttp://dx.doi.org/10.2312/vcbm.20141196en_US
dc.identifier.urihttp://hdl.handle.net/10.2312/vcbm.20141196.173-180
dc.description.abstractReal-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 realtime tracking of free-breathing sequences.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.3 [Image Processing and Computer Vision]en_US
dc.subjectEnhancementen_US
dc.subjectRegistrationen_US
dc.titleDeriving Anatomical Context from 4D Ultrasounden_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicineen_US


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