Title
Map displays for the analysis of scalar data on cerebral aneurysm surfaces
Abstract
Cerebral aneurysms result from a congenital or evolved weakness of stabilizing parts of the vessel wall and potentially lead to rupture and a life-threatening bleeding. Current medical research concentrates on the integration of blood flow simulation results for risk assessment of cerebral aneurysms. Scalar flow characteristics close to the aneurysm surface, such as wall shear stress, form an important part of the simulation results. Aneurysms exhibit variable surface shapes with only few landmarks. Therefore, the exploration and mental correlation of different surface regions is a difficult task. In this paper, we present an approach for the intuitive and interactive overview visualization of near wall flow data that is mapped onto the surface of a 3D model of a cerebral aneurysm. We combine a multi-perspective 2D projection map with a standard 3D visualization and present techniques to facilitate the correlation between a 3D model and a related 2D map. An informal evaluation with 4 experienced radiologists has shown that the map-based overview actually improves the surface exploration. Furthermore, different color schemes were discussed and, as a result, an appropriate color scheme for the visual analysis of the wall shear stress is presented.
Year
DOI
Venue
2009
10.1111/j.1467-8659.2009.01459.x
Comput. Graph. Forum
Keywords
Field
DocType
map display,aneurysm surface,cerebral aneurysm,cerebral aneurysm surface,vessel wall,surface exploration,variable surface,near wall flow data,different surface region,wall shear stress,cerebral aneurysms,scalar data,blood flow simulation result
Computer vision,Color scheme,Map projection,Visualization,Shear stress,Computer science,Scalar (physics),Flow (psychology),Aneurysm,Artificial intelligence
Journal
Volume
Issue
ISSN
28
3
0167-7055
Citations 
PageRank 
References 
24
1.12
9
Authors
6
Name
Order
Citations
PageRank
Mathias Neugebauer117415.67
Rocco Gasteiger217812.75
O. Beuing312215.70
Volker Diehl4342.21
Martin Skalej510211.54
Bernhard Preim61766235.86