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Cutting-Edge Medical Visualization and Imaging Technologies

Explore the forefront of medical visualization with TUD's MedVis program, focusing on advanced areas such as neuroimaging, tumor resection planning, and molecular imaging. Collaborating with top institutions, this innovative program offers real-time fiber tracking, quantification-driven visualization, and integration of SciVis and Infovis techniques for enhanced surgical planning.

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Cutting-Edge Medical Visualization and Imaging Technologies

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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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