Visual Computing for Biomedicine addresses the integration of state-of-the-art visualization and image analysis for application to biomedical research. Integrating visualization and image analysis brings with it particular challenges, but also yields new possibilities, especially when extended for application to the wide gamut of biomedical research topics, such as molecular imaging, quantitative longitudinal studies, pre- and intra-operative surgical guidance, and computer-aided diagnosis.

VCBM is unique in that it will bring together researchers and practitioners from visualization, image processing and (bio-)medicine. We expect to attract a number of attendees with (bio-)medical backgrounds, as well as from the surrounding academic medical centers. This will pose a unique opportunity to showcase the latest ideas from engineering and science, to get feedback from medical practitioners, and to explore new possibilities for cooperative research.

VCBM solicits the submission of original application-oriented research papers that advance the fusion of visualization and image analysis with imaging-based medicine and biomedical science. All papers should focus on a well-defined biomedical context, and should demonstrate a significant innovation or improvement in visual computing that addresses ongoing problems in that context.

Topics

Suggested topics for papers include, but are not limited to:

• Interactive segmentation and registration
• Computer-aided diagnosis and detection
• Facilitating medical research with visual computing
• Intervention and therapy planning (e.g. pre-operative surgical planning and radiation therapy planning)
• Intra-operative guidance for surgery
• Ultra-sound based planning and intra-operative guidance
• Visualization and Simulation for Surgical Training
• Coupled simulation and visualization
• Multi-field medical visualization and processing (multi-modality, structural + functional)
• Processing and visualization of advanced modalities
• Molecular imaging
• Perception-based studies for medical visualization
• Anatomical reconstruction from microscopy data
• Creation and visualization of biological atlases
• Ontology-based visualization
• Visualization methods for neurobiology, plant biology and developmental biology
• Surveys on relevant topics are welcomed.