EuroRVVV: EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization

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Browsing EuroRVVV: EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization by Subject "Applications"

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    High-Performance Motion Correction of Fetal MRI
    (The Eurographics Association, 2016) Kainz, Bernhard; Lloyd, David F. A.; Alansary, Amir; Murgasova, Maria Kuklisova; Khlebnikov, Rostislav; Rueckert, Daniel; Rutherford, Mary; Razavi, Reza; Hajnal, Jo V.; Kai Lawonn and Mario Hlawitschka and Paul Rosenthal
    Fetal Magnetic Resonance Imaging (MRI) shows promising results for pre-natal diagnostics. The detection of potentially lifethreatening abnormalities in the fetus can be difficult with ultrasound alone. MRI is one of the few safe alternative imaging modalities in pregnancy. However, to date it has been limited by unpredictable fetal and maternal motion during acquisition. Motion between the acquisitions of individual slices of a 3D volume results in spatial inconsistencies that can be resolved by slice-to-volume reconstruction (SVR) methods to provide high quality 3D image data. Existing algorithms to solve this problem have evolved from very slow implementations targeting a single organ to general high-performance solutions to reconstruct the whole uterus. In this paper we give a brief overview over the current state-of-the art in fetal motion compensation methods and show currently emerging clinical applications of these techniques.
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    On the Evaluation of a Semi-Automatic Vortex Flow Classification in 4D PC-MRI Data of the Aorta
    (The Eurographics Association, 2016) Meuschke, Monique; Köhler, Ben; Preim, Bernhard; Lawonn, Kai; Kai Lawonn and Mario Hlawitschka and Paul Rosenthal
    In this paper, we report on our experiences that we made during our contributions in the field of the visualization of flow characteristics. Mainly, we focused on the vortex flow classification in 4D PC-MRI as current medical studies assume a strong correlation between cardiovascular diseases and blood flow patterns such as vortices. For further analysis, medical experts are asked to manually extract and classify such vortices according to specific properties. We presented and evaluated techniques that enable a fast and robust vortex classification [MLK 16,MKP 16] that supports medical experts. The main focus in this paper is a report that describes our conversations with the domain experts. The dialog was the fundament that gave us the direction of what the experts need. We derived several requirements that should be fulfilled by our tool. From this, we developed a prototype that supports the experts. Finally, we describe the evaluation of our framework and discuss currently limitations.
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    Uncertainty Visualization: Recent Developments and Future Challenges in Prostate Cancer Radiotherapy Planning
    (The Eurographics Association, 2018) Raidou, Renata G.; Kai Lawonn and Noeska Smit and Lars Linsen and Robert Kosara
    Radiotherapy is one of the most common treatment strategy for prostate cancer. Prior to radiotherapy, a complex process consisting of several steps is employed to create an optimal treatment plan. However, all these steps include several sources of uncertainty, which can be detrimental for the successful outcome of the treatment. In this work, we present a number of strategies from the field of Visual Analytics that have been recently designed and implemented, for the visualization of data, processes and uncertainties at each step of the planning pipeline. We additionally document our opinion on topics that have not been yet addressed, and could be interesting directions for future work.