Browsing by Author "Viola, Ivan"
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Item Interactive Exploded Views for Molecular Structures(The Eurographics Association, 2019) Sbardellati, Maximilian; Miao, Haichao; WU, Hsiang-Yun; Groeller, Eduard; Barisic, Ivan; Viola, Ivan; Kozlíková, Barbora and Linsen, Lars and Vázquez, Pere-Pau and Lawonn, Kai and Raidou, Renata GeorgiaWe propose an approach to interactively create exploded views of molecular structures with the goal to help domain experts in their design process and provide them with a meaningful visual representation of component relationships. Exploded views are excellently suited to manage visual occlusion of structure components, which is one of the main challenges when visualizing complex 3D data. In this paper, we discuss four key parameters of an exploded view: explosion distance, direction, order, and the selection of explosion components. We propose two strategies, namely the structure-derived exploded view and the interactive free-form exploded view, for computing these four parameters systematically. The first strategy allows scientists to automatically create exploded views by computing the parameters from the given object structures. The second strategy further supports them to design and customize detailed explosion paths through user interaction. Our approach features the possibility to animate exploded views, to incorporate ease functions into these animations and to display the explosion path of components via arrows. Finally, we demonstrate three use cases with various challenges that we investigated in collaboration with a domain scientist. Our approach, therefore, provides interesting new ways of investigating and presenting the design layout and composition of complex molecular structures.Item Trends & Opportunities in Visualization for Physiology: A Multiscale Overview(The Eurographics Association and John Wiley & Sons Ltd., 2022) Garrison, Laura A.; Kolesar, Ivan; Viola, Ivan; Hauser, Helwig; Bruckner, Stefan; Bruckner, Stefan; Turkay, Cagatay; Vrotsou, KaterinaCombining elements of biology, chemistry, physics, and medicine, the science of human physiology is complex and multifaceted. In this report, we offer a broad and multiscale perspective on key developments and challenges in visualization for physiology. Our literature search process combined standard methods with a state-of-the-art visual analysis search tool to identify surveys and representative individual approaches for physiology. Our resulting taxonomy sorts literature on two levels. The first level categorizes literature according to organizational complexity and ranges from molecule to organ. A second level identifies any of three high-level visualization tasks within a given work: exploration, analysis, and communication. The findings of this report may be used by visualization researchers to understand the overarching trends, challenges, and opportunities in visualization for physiology and to provide a foundation for discussion and future research directions in this area.Item The Vitruvian Baby: Interactive Reformation of Fetal Ultrasound Data to a T-Position(The Eurographics Association, 2019) Mörth, Eric; Raidou, Renata Georgia; Smit, Noeska; Viola, Ivan; Madeiras Pereira, João and Raidou, Renata GeorgiaThree dimensional (3D) ultrasound is commonly used in prenatal screening, because it provides insight into the shape as well as the organs of the fetus. Currently, gynecologists take standardized measurements of the fetus and check for abnormalities by analyzing the data in a 2D slice view. The fetal pose may complicate taking precise measurements in such a view. Analyzing the data in a 3D view would enable the viewer to better distinguish between artefacts and representative information. Standardization in medical imaging techniques aims to make the data comparable between different investigations and patients. It is already used in different medical applications for example in magnetic resonance imaging (MRI). With this work, we introduce a novel approach to provide a standardization method for 3D ultrasound screenings of fetuses. The approach consists of six steps and is called ''The Vitruvian Baby''. The input is the data of the 3D ultrasound screening of a fetus and the output shows the fetus in a standardized T-pose in which measurements can be made. The precision of standardized measurements compared to the gold standard is for the finger to finger span 91,08% and for the head to toe measurement 94,05%.Item The Vitruvian Baby: Interactive Reformation of Fetal Ultrasound Data to a T-Position(The Eurographics Association, 2019) Mörth, Eric; Raidou, Renata Georgia; Viola, Ivan; Smit, Noeska; Kozlíková, Barbora and Linsen, Lars and Vázquez, Pere-Pau and Lawonn, Kai and Raidou, Renata GeorgiaThree-dimensional (3D) ultrasound imaging and visualization is often used in medical diagnostics, especially in prenatal screening. Screening the development of the fetus 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 precise measurements can be difficult to acquire due to the fetal pose. Performing the analysis in a 3D view would enable the viewer to better discriminate between artefacts and representative information. Additionally making data comparable between different investigations and patients is a goal in medical imaging techniques and is often achieved by standardization. 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.