Transdisciplinary Visualization of Aortic Dissections

Abstract
Aortic dissection is a life-threatening condition caused by the abrupt formation of a secondary blood flow channel within the vessel wall. Patients surviving the acute phase remain at high risk for late complications, such as aneurysm formation and aortic rupture. The timing of these complications is variable, making long-term imaging surveillance crucial for aortic growth monitoring. Morphological characteristics of the aorta, its hemodynamics, and, ultimately, risk models impact treatment strategies. Providing such a wealth of information demands expertise across a broad spectrum to understand the complex interplay of these influencing factors. We present results of our longstanding transdisciplinary efforts to confront this challenge. Our team has identified four key disciplines, each requiring specific expertise overseen by radiology: lumen segmentation and landmark detection, risk predictors and inter-observer analysis, computational fluid dynamics simulations, and visualization and modeling. In each of these disciplines, visualization supports analysis and serves as communication medium between stakeholders, including patients. For each discipline, we summarize the work performed, the related work, and the results.
Description

CCS Concepts: Applied computing -> Life and medical sciences; Human-centered computing -> Visualization; Computing methodologies -> Computer graphics; Modeling and simulation; Machine learning

        
@inproceedings{
10.2312:evm.20231085
, booktitle = {
EuroVis 2023 - Dirk Bartz Prize
}, editor = {
Raidou, Renata
and
Kuhlen, Torsten
}, title = {{
Transdisciplinary Visualization of Aortic Dissections
}}, author = {
Mistelbauer, Gabriel
and
Bäumler, Kathrin
and
Willemink, Martin J.
and
Walters, Shannon
and
Preim, Bernhard
and
Fleischmann, Dominik
and
Mastrodicasa, Domenico
and
Hahn, Lewis D.
and
Pepe, Antonio
and
Sandfort, Veit
and
Hinostroza, Virginia
and
Ostendorf, Kai
and
Schroeder, Aaron
and
Sailer, Anna M.
}, year = {
2023
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-03868-221-9
}, DOI = {
10.2312/evm.20231085
} }
Citation