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dc.contributor.authorMörth, Eric
dc.contributor.authorRaidou, Renata Georgia
dc.contributor.authorViola, Ivan
dc.contributor.authorSmit, Noeska Natasja
dc.date.accessioned2020-04-17T09:11:27Z
dc.date.available2020-04-17T09:11:27Z
dc.date.issued2019
dc.identifier.isbn978-3-03868-081-9
dc.identifier.issn2070-5786
dc.identifier.urihttps://hdl.handle.net/1956/21906
dc.description.abstractThree-dimensional (3D) ultrasound imaging and visualization is often used in medical diagnostics, especially in prenatal screening. Screening the development of the organs of the fetus as well as the overall growth is important to assess possible complications early on. State of the art approaches involve taking standardized measurements to compare them with standardized tables. The measurements are taken in a 2D slice view where the fetal pose may complicate taking precise measurements. Performing the analysis in a 3D view would enable the viewer to better discriminate between artefacts and representative information. Making data comparable between different investigations and patients is a goal in medical imaging techniques and is often achieved by standardization, as is done in magnetic resonance imaging (MRI). With this paper, we introduce a novel approach to provide a standardization method for 3D ultrasound fetus screenings. Our approach is called ”The Vitruvian Baby” and incorporates a complete pipeline for standardized measuring in fetal 3D ultrasound. The input of the method is a 3D ultrasound screening of a fetus and the output is the fetus in a standardized T-pose. In this pose, taking measurements is easier and comparison of different fetuses is possible. In addition to the transformation of the 3D ultrasound data, we create an abstract representation of the fetus based on accurate measurements. We demonstrate the accuracy of our approach on simulated data where the ground truth is known.en_US
dc.language.isoengeng
dc.publisherThe Eurographics Associationen_US
dc.titleThe Vitruvian Baby: Interactive Reformation of Fetal Ultrasound Data to a T-Positionen_US
dc.typePeer reviewed
dc.typeJournal article
dc.date.updated2020-01-28T10:16:04Z
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2019 The Author(s)en_US
dc.identifier.doihttps://doi.org/10.2312/vcbm.20191245
dc.identifier.cristin1783864
dc.source.journalEurographics Workshop on Visual Computing for Biomedicine
dc.source.pagenumber201-205
dc.relation.projectTrond Mohn stiftelse: 811255


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