Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
A signal processing approach to fair surface design
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Efficient Semiautomatic Segmentation of 3D Objects in Medical Images
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
The visualization of myocardial strain for the improved analysis of cardiac mechanics
Proceedings of the 2nd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
CoViCAD: Comprehensive Visualization of Coronary Artery Disease
IEEE Transactions on Visualization and Computer Graphics
Interactive Visual Analysis of Perfusion Data
IEEE Transactions on Visualization and Computer Graphics
Interactive visualization of multi-field medical data using linked physical and feature-space views
EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
EUROVIS'06 Proceedings of the Eighth Joint Eurographics / IEEE VGTC conference on Visualization
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Perfusion data characterize the regional blood flow in human tissue. In the diagnosis of the Coronary Heart Disease, they are acquired to detect hypoperfused regions of the myocardium (heart muscle) at an early stage or to evaluate the hemodynamical relevance of a known pathologic vessel narrowing. For each voxel in the data, a time-intensity curve describes the enhancement of a contrast agent. Parameters derived from these curves characterize the regional perfusion and have to be integrated for diagnosis. The diagnostic evaluation of this multi-field data is challenging and time-consuming due to its complexity. We tackle this problem by developing a glyph-based integrated visualization of perfusion parameters in 3D-space with the patient-individual ventricular anatomy as context information. Besides the assessment of myocardial perfusion, current cardiac imaging technology allows for the investigation of myocardial contractility as well as for the detection of non-viable tissue. The combined inspection of these data supports diagnosis finding and therapy planning by allowing for the discrimination of healthy, hypoperfused and non-viable tissue as well as between non-viable and temporarily inactive tissue. To facilitate such an inspection, we apply registration methods that cope with differences in orientation and coverage between these three datasets. We enhance the glyph-based visualization of perfusion parameters by integrating parameters describing the myocardial contractility and viability.