Solteszova, Veronika

Solteszova, Veronika


T: +47 941 56 097



  • Space

    Working with space has a long history at CMR. Our activities cover energy systems, mechanical structures and life Support system components


  • Output-Sensitive Filtering of Streaming Volume Data

    Solteszova, Veronika; Birkeland, Åsmund, University of Bergen, Norway; Stoppel, Sergej, University of Bergen, Norway; Viola, Ivan, University of Bergen, Norway, Vienna University of Technology, Austria ; Bruckner, Stefan, University of Bergen, Norway

    Real-time volume data acquisition poses substantial challenges for the traditional visualization pipeline where data enhancement is typically seen as a pre-processing step. In the case of 4D ultrasound data, for instance, costly processing operations to reduce noise and to remove artefacts need to be executed for every frame.

  • The Accuracy of Gauge-Figure Tasks in Monoscopic and Stereo Displays

    Bernhard M; Solteszova, Veronika; Waldner M, Plank P, Viola I.

    The gauge-figure task (GFT) is a widespread method used to study surface perception for evaluating rendering and visualization techniques. The authors investigate how accurately slant angles probed on well-defined objects align with the ground truth (GT) in monoscopic and stereoscopic displays.

  • Evolution inspector: Interactive visual analysis for evolutionary molecular design

    Solteszova, Veronika; Foscato, Marco, University of Bergen, Norway; Eliasson, Sondre H., University of Bergen, Norway; Jensen, Vidar R., University of Bergen, Norway

    De novo design is a computational-chemistry method, where a computer program utilizes an optimization method, in our case an evolutionary algorithm, to design compounds with desired chemical properties.

  • The Ultrasound Visualization Pipeline

    Solteszova, Veronika; Åsmund Birkeland, University of Bergen; Dieter Hönigmann; Odd Helge Gilja; Svein Brekke; Timo Ropinski; Ivan Viola, University of Bergen, Norway, Vienna University of Technology, Austria

    Ultrasound is one of the most frequently used imaging modality in medicine. The high spatial resolution, its interactive nature and non-invasiveness makes it the first choice in many examinations. Image interpretation is one of ultrasound’s main challenges. Much training is required to obtain a confident skill level in ultrasound-based diagnostics. State-of-the-art graphics techniques is needed to provide meaningful visualizations of ultrasound in real-time.

  • Visibility-Driven Processing of Streaming Volume Data

    Solteszova, Veronika; Åsmund Birkeland, University of Bergen; Ivan Viola, University of Bergen, Norway, Vienna University of Technology, Austria; Stefan Bruckner, University of Bergen, Norway

    In real-time volume data acquisition, such as 4D ultrasound, the raw data is challenging to visualize directly without additional processing. Noise removal and feature detection are common operations, but many methods are too costly to compute over the whole volume when dealing with live streamed data. In this paper, we propose a visibility-driven processing scheme for handling costly on-the-fly processing of volumetric data in real-time.

  • High-Quality 3D Visualization of In-Situ Ultrasonography

    Ivan Viola; Ulvang, Dag Magne; Solteszova, Veronika; Åsmund Birkeland, Linn Helljesen, Helwig Hauser, Spiros Kotopoulis, Kim Nylund , Ola K. Øye, Trygve Hausken, Odd H. Gilja

    In recent years medical ultrasound has experienced a rapid development in the quality of real-time 3D ultrasound (US) imaging. The image quality of the 3D volume that was previously possible to achieve within the range of a few seconds, is now possible in a fraction of a second.

  • Instant Convolution Shadows for Volumetric Detail Mapping

    Patel, Daniel; Solteszova, Veronika; Jan Martin Nordbotten and Stefan Bruckner, University of Bergen

    In this article, we present a method for rendering dynamic scenes featuring translucent procedural volumetric detail with all-frequency soft shadows being cast from objects residing inside the view frustum.

  • A Perceptual-Statistics Shading Model

    Solteszova, Veronika; Cagatay Turkay, Mark Price, Ivan Viola

    The process of surface perception is complex and based on several influencing factors, e.g., shading, silhouettes, occluding contours, and top down cognition. The accuracy of surface perception can be measured and the influencing factors can be modified in order to decrease the error in perception.

  • Lowest-Variance Streamlines for Filtering of 3D Ultrasound

    Solteszova, Veronika; Linn Emilie Sævil Helljesen, Wolfgang Wein, Odd Helge Gilja, Ivan Viola

    Ultrasound as an acoustic imaging modality suffers from various kinds of noise. The presence of noise especially hinders the 3D visualization of ultrasound data, both in terms of resolving the spatial occlusion of the signal by surrounding noise, and mental decoupling of the signal from noise.

  • Chromatic Shadows for Improved Perception

    Solteszova, Veronika; Patel, Daniel; Ivan Viola

    Soft shadows are effective depth and shape cues. However, traditional shadowing algorithms decrease the luminance in shadow areas. The features in shadow become dark and thus shadowing causes information hiding. For this reason, in shadowed areas, medical illustrators decrease the luminance less and compensate the lower luminance range by adding color, i.e., by introducing a chromatic component.

  • A Multidirectional Occlusion Shading Model for Direct Volume Rendering

    Solteszova, Veronika; Patel, Daniel; Stefan Bruckner, Ivan Viola

    In this paper, we present a novel technique which simulates directional light scattering for more realistic interactive visualization of volume data. Our method extends the recent directional occlusion shading model by enabling light source positioning with practically no performance penalty.