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TUD MedVis Overview

TUD MedVis Overview. http://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)

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TUD MedVis Overview

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  1. TUD MedVis Overview http://visualisation.tudelft.nl/MedVis/ http://medvis.org/

  2. 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

  3. Diffusion Tensor Imaging • Able to image neuronal fibre bundles in the brain • Full-brain tracking yields over-complex visualisations

  4. Diffusion Tensor Imaging • Our approach: real-time selection – 3 million fibres / s • Reproducible, fast and intuitive

  5. DTI + function MRI (fMRI) • Test application: tumor resection with fMRI and DTI • Queries and feedback: distance to tumor, bundles by activation area, etc.

  6. 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:

  7. Multi-FieldMedical Visualisation • Quantification-driven visualisation • 2. Integrating SciVis and Infovis techniques:

  8. Planning and guidance fororthopaedic surgery • Shoulder replacement is hard • Results in loosening and revision!

  9. Planning and guidance fororthopaedic surgery • Situation improved with Computer Assisted Surgery techniques. Our prototype:

  10. Polyp detection inVirtual Colonoscopy • Detection of polyps in VC

  11. Polyp detection inVirtual Colonoscopy • Apply vector field visualisation techniques! Maximum curvature direction Minimum curvature direction

  12. Polyp detection inVirtual Colonoscopy • Surface constrained streamlines: extra features for classifation of true positive polyps.

  13. Molecular Imaging • Bioluminescence imaging + CT and MRI • Genetically modified mice • Tracking cancerous cell clusters over time

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