InkVis: A High-Particle-Count Approach for Visualization of Phase-Contrast Magnetic Resonance Imaging Data (Unknown language)

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Phase-Contrast Magnetic Resonance Imaging (PC-MRI) measures volumetric and time-varying blood flow data, unsurpassed in quality and completeness. Such blood-flow data have been shown to have the potential to improve both diagnosis and risk assessment of cardiovascular diseases (CVDs) uniquely. Typically PC-MRI data is visualized using stream- or pathlines. However, time-varying aspects of the data, e.g., vortex shedding, breakdown, and formation, are not sufficiently captured by these visualization techniques. Experimental flow visualization techniques introduce a visible medium, like smoke or dye, to visualize flow aspects including time-varying aspects. We propose a framework that mimics such experimental techniques by using a high number of particles. The framework offers great flexibility which allows for various visualization approaches. These include common traditional flow visualizations, but also streak visualizations to show the temporal aspects, and uncertainty visualizations. Moreover, these patient-specific measurements suffer from noise artifacts and a coarse resolution, causing uncertainty. Traditional flow visualizations neglect uncertainty and, therefore, may give a false sense of certainty, which can mislead the user yielding incorrect decisions. Previously, the domain experts had no means to visualize the effect of the uncertainty in the data. Our framework has been adopted by domain experts to visualize the vortices present in the sinuses of the aorta root showing the potential of the framework. Furthermore, an evaluation among domain experts indicated that having the option to visualize the uncertainty contributed to their confidence on the analysis.

Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

1
SpectraMosaic: An Exploratory Tool for the Interactive Visual Analysis of Magnetic Resonance Spectroscopy Data
Garrison, Laura / Vašíček, Jakub / Grüner, Renate / Smit, Noeska N. / Bruckner, Stefan | 2019
11
Multiparametric Magnetic Resonance Image Synthesis using Generative Adversarial Networks
Haarburger, Christoph / Horst, Nicolas / Truhn, Daniel / Broeckmann, Mirjam / Schrading, Simone / Kuhl, Christiane / Merhof, Dorit | 2019
17
Colonic Content Assessment from MRI Imaging Using a Semi-automatic Approach
Ceballos, Victor / Monclús, Eva / Vázquez, Pere-Pau / Bendezú, Álvaro / Mego, Marianela / Merino, Xavier / Azpiroz, Fernando / Navazo, Isabel | 2019
27
A Web-based Application for the Visual Exploration of Colon Morphology Data
Males, Jan / Monclús, Eva / Díaz, Jose / Vázquez, Pere-Pau | 2019
33
Interactive Formation of Statistical Hypotheses in Diffusion Tensor Imaging
Abbasloo, Amin / Wiens, Vitalis / Schmidt-Wilcke, Tobias / Sundgren, Pia / Klein, Reinhard / Schultz, Thomas | 2019
45
Semantic Segmentation of Brain Tumors in MRI Data Without any Labels
Weninger, Leon / Krauhausen, Imke / Merhof, Dorit | 2019
51
Feasibility Study For Automatic Bird Tracking and Visualization from Time-Dependent Marine Radar Imagery
Ganglberger, Florian / Bühler, Katja | 2019
57
A Visual Environment for Hypothesis Formation and Reasoning in Studies with fMRI and Multivariate Clinical Data
Jönsson, Daniel / Bergström, Albin / Forsell, Camilla / Simon, Rozalyn / Engström, Maria / Ynnerman, Anders / Hotz, Ingrid | 2019
69
Pelvis Runner: Visualizing Pelvic Organ Variability in a Cohort of Radiotherapy Patients
Grossmann, Nicolas / Casares-Magaz, Oscar / Muren, Ludvig Paul / Moiseenko, Vitali / Einck, John P. / Gröller, Eduard / Raidou, Renata Georgia | 2019
79
preha: Establishing Precision Rehabilitation with Visual Analytics
Bernold, Georg / Matkovic, Kresimir / Gröller, Eduard / Raidou, Renata Georgia | 2019
91
A Visual Analytics Approach for Patient Stratification and Biomarker Discovery
Alemzadeh, Shiva / Kromp, Florian / Preim, Bernhard / Taschner-Mandl, Sabine / Bühler, Katja | 2019
97
MedUse: A Visual Analysis Tool for Medication Use Data in the ABCD Study
Bartsch, Hauke / Garrison, Laura / Bruckner, Stefan / Wang, Ariel / Tapert, Susan F. / Grüner, Renate | 2019
103
Interactive Exploded Views for Molecular Structures
Sbardellati, Maximilian / Miao, Haichao / Wu, Hsiang-Yun / Gröller, Eduard / Barisic, Ivan / Viola, Ivan | 2019
113
DockVis: Visual Analysis of Molecular Docking Data
Furmanová, Katarína / Kozlíková, Barbora / Vonásek, Vojtěch / Byška, Jan | 2019
123
Layer-Aware iOCT Volume Rendering for Retinal Surgery
Weiss, Jakob / Eck, Ulrich / Nasseri, Muhamad Ali / Maier, Mathias / Eslami, Abouzar / Navab, Nassir | 2019
129
Visual Analytics in Digital Pathology: Challenges and Opportunities
Corvò, Alberto / Westenberg, Michel A. / Wimberger-Friedl, Reinhold / Fromme, Stephan / Peeters, Michel M. R. / Driel, Marc A. van / Wijk, Jarke J. van | 2019
145
Medical Animations: A Survey and a Research Agenda
Preim, Bernhard / Meuschke, Monique | 2019
165
Using Position-Based Dynamics for Simulating the Mitral Valve in a Decision Support System
Walczak, Lars / Georgii, Joachim / Tautz, Lennart / Neugebauer, Mathias / Wamala, Isaac / Sündermann, Simon / Falk, Volkmar / Hennemuth, Anja | 2019
177
InkVis: A High-Particle-Count Approach for Visualization of Phase-Contrast Magnetic Resonance Imaging Data
Hoon, Niels H. L. C. de / Lawonn, Kai / Jalba, Andrei C. / Eisemann, Elmar / Vilanova, Anna | 2019
189
Robustness Evaluation of CFD Simulations to Mesh Deformation
Scheid-Rehder, Alexander / Lawonn, Kai / Meuschke, Monique | 2019
201
The Vitruvian Baby: Interactive Reformation of Fetal Ultrasound Data to a T-Position
Mörth, Eric / Raidou, Renata Georgia / Viola, Ivan / Smit, Noeska N. | 2019
207
HIFUpm: a Visual Environment to Plan and Monitor High Intensity Focused Ultrasound Treatments
Modena, Daniela / Bassano, Davide / Elevelt, Aaldert / Baragona, Marco / Hilbers, Peter A. J. / Westenberg, Michel A. | 2019
213
Hybrid Visualization of Protein-Lipid and Protein-Protein Interaction
Alharbi, Naif / Krone, Michael / Chavent, Matthieu / Laramee, Robert S. | 2019
225
Molecular Sombreros: Abstract Visualization of Binding Sites within Proteins
Schatz, Karsten / Krone, Michael / Bauer, Tabea L. / Ferrario, Valerio / Pleiss, Jürgen / Ertl, Thomas | 2019
239
Interactive CPU-based Ray Tracing of Solvent Excluded Surfaces
Rau, Tobias / Zahn, Sebastian / Krone, Michael / Reina, Guido / Ertl, Thomas | 2019
253
Evolutionary Pathlines for Blood Flow Exploration in Cerebral Aneurysms
Behrendt, Benjamin / Engelke, Wito / Berg, Philipp / Beuing, Oliver / Preim, Bernhard / Hotz, Ingrid / Saalfeld, Sylvia | 2019
265
Distance Field Visualization and 2D Abstraction of Vessel Tree Structures with on-the-fly Parameterization
Lichtenberg, Nils / Krayer, Bastian / Hansen, Christian / Müller, Stefan / Lawonn, Kai | 2019
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