Visual Analysis of Aneurysm Data using Statistical Graphics

Meuschke M, Günther T, Berg P, Wickenhoefer R, Preim B, Lawonn K (2019)

Publication Type: Journal article

Publication year: 2019

Journal

IEEE Transactions on Visualization and Computer Graphics Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 25

Pages Range: 997-1007

Article Number: 8440110

Journal Issue: 1

DOI: 10.1109/TVCG.2018.2864509

Abstract

This paper presents a framework to explore multi-field data of aneurysms occurring at intracranial and cardiac arteries by using statistical graphics. The rupture of an aneurysm is often a fatal scenario, whereas during treatment serious complications for the patient can occur. Whether an aneurysm ruptures or whether a treatment is successful depends on the interaction of different morphological such as wall deformation and thickness, and hemodynamic attributes like wall shear stress and pressure. Therefore, medical researchers are very interested in better understanding these relationships. However, the required analysis is a time-consuming process, where suspicious wall regions are difficult to detect due to the time-dependent behavior of the data. Our proposed visualization framework enables medical researchers to efficiently assess aneurysm risk and treatment options. This comprises a powerful set of views including 2D and 3D depictions of the aneurysm morphology as well as statistical plots of different scalar fields. Brushing and linking AIDS the user to identify interesting wall regions and to understand the influence of different attributes on the aneurysm's state. Moreover, a visual comparison of pre- and post-treatment as well as different treatment options is provided. Our analysis techniques are designed in collaboration with domain experts, e.g., physicians, and we provide details about the evaluation.

Authors with CRIS profile

Tobias Günther

Involved external institutions

Otto-von-Guericke-Universität Magdeburg DE Germany (DE) Universität Koblenz-Landau DE Germany (DE) Eidgenössische Technische Hochschule Zürich (ETHZ) / Swiss Federal Institute of Technology in Zurich CH Switzerland (CH) Herz-Jesu-Krankenhaus DE Germany (DE)

How to cite

APA:

Meuschke, M., Günther, T., Berg, P., Wickenhoefer, R., Preim, B., & Lawonn, K. (2019). Visual Analysis of Aneurysm Data using Statistical Graphics. IEEE Transactions on Visualization and Computer Graphics, 25(1), 997-1007. https://dx.doi.org/10.1109/TVCG.2018.2864509

MLA:

Meuschke, Monique, et al. "Visual Analysis of Aneurysm Data using Statistical Graphics." IEEE Transactions on Visualization and Computer Graphics 25.1 (2019): 997-1007.

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