Date post: | 30-Dec-2015 |
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TUD MedVis Overviewhttp://visualisation.tudelft.nl/MedVis/http://medvis.org/
TUD MedVis Overview
• 1 associate prof., 1 assistant prof., 5 PhD students, 6 M.Sc. students.
• Medical Visualisation application areas focused on: • medical research (neuro, longitudinal,
molecular)• diagnosis and treatment planning
• Cooperating with academic hospitals in NL, Philips Medical Systems, TU/e
Diffusion Tensor Imaging
• Able to image neuronal fibre bundles in the brain
• Full-brain tracking yields over-complex visualisations
Diffusion Tensor Imaging• Our approach: real-time selection – 3 million fibres / s• Reproducible, fast and intuitive
DTI + function MRI (fMRI)
• Test application: tumor resection with fMRI and DTI• Queries and feedback: distance to tumor, bundles
by activation area, etc.
Multi-Field Medical Visualisation
• Multiple measurements over the same domain• Examples: inherently multi-modality (PET-CT),
registered data (multi-timepoint)• 1. Comparative visualisation in clinical studies:
Multi-FieldMedical Visualisation
• Quantification-driven visualisation• 2. Integrating SciVis and Infovis techniques:
Planning and guidance fororthopaedic surgery
• Shoulder replacement is hard• Results in loosening and revision!
Planning and guidance fororthopaedic surgery
• Situation improved with Computer Assisted Surgery techniques. Our prototype:
Polyp detection inVirtual Colonoscopy
• Detection of polyps in VC
Polyp detection inVirtual Colonoscopy
• Apply vector field visualisation techniques!
Maximum curvature direction Minimum curvature direction
Polyp detection inVirtual Colonoscopy
• Surface constrained streamlines: extra features for classifation of true positive polyps.
Molecular Imaging
• Bioluminescence imaging + CT and MRI• Genetically modified mice• Tracking cancerous cell clusters over time