Browsing VCBM 08: Eurographics Workshop on Visual Computing for Biomedicine by Title

Now showing items 18-22 of 22

    • Ontology-Based Visualization of Hierarchical Neuroanatomical Structures 

      Kuß, Anja; Prohaska, Steffen; Meyer, Björn; Rybak, Jürgen; Hege, Hans-Christian (The Eurographics Association, 2008)
      This work presents a method for generating intuitive visualizations for high-level user queries to an hierarchical surface-based neuroanatomical atlas. We combine a spreading activation approach for computing focus and ...

    • Reconstruction of Blood Vessels from Neck CT Datasets using Stable 3D Mass-Spring Models 

      Dornheim, Jana; Lehmann, Dirk J.; Dornheim, Lars; Preim, Bernhard; Strauß, Gero (The Eurographics Association, 2008)
      Preoperative neck dissection planning benefits from a smooth, organic visualization of the main blood vessels of the neck, in particular the carotid artery and jugular vein. While most reconstruction techniques for vasculature ...

    • Robust Classification and Analysis of Anatomical Surfaces Using 3D Skeletons 

      Reniers, Dennie; Jalba, Andrei; Telea, Alexandru (The Eurographics Association, 2008)
      We present a method for computing a surface classifier that can be used to detect convex ridges on voxel sur- faces extracted from 3D scans. In contrast to classical approaches based on (discrete) curvature computations, ...

    • Surface Curvature Line Clustering for Polyp Detection in CT Colonography 

      Zhao, Lingxiao; Ravesteijn, Vincent F. van; Botha, Charl P.; Truyen, Roel; Vos, Frans M.; Post, Frits H. (The Eurographics Association, 2008)
      Automatic polyp detection is a helpful addition to laborious visual inspection in CT colonography. Traditional detection methods are based on calculating image features at discrete positions on the colon wall. However ...

    • Visual Analysis of Bipartite Biological Networks 

      Schulz, Hans-Jörg; John, Mathias; Unger, Andrea; Schumann, Heidrun (The Eurographics Association, 2008)
      In life sciences, the importance of complex network visualization is ever increasing. Yet, existing approaches for the visualization of networks are general purpose techniques that are often not suited to support the ...