TUD MedVis Overviewhttp://visualisation.tudelft.nl/MedVis/http://medvis.org/

TUD MedVis Overview1 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 planningCooperating with academic hospitals in NL, Philips Medical Systems, TU/e

Diffusion Tensor ImagingAble to image neuronal fibre bundles in the brainFull-brain tracking yields over-complex visualisations

Diffusion Tensor ImagingOur approach: real-time selection 3 million fibres / sReproducible, fast and intuitive

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

Multi-Field Medical VisualisationMultiple measurements over the same domainExamples: inherently multi-modality (PET-CT), registered data (multi-timepoint)1. Comparative visualisation in clinical studies:

Multi-FieldMedical VisualisationQuantification-driven visualisation2. Integrating SciVis and Infovis techniques:

Planning and guidance fororthopaedic surgeryShoulder replacement is hardResults in loosening and revision!

Planning and guidance fororthopaedic surgerySituation improved with Computer Assisted Surgery techniques. Our prototype:

Polyp detection inVirtual ColonoscopyDetection of polyps in VC

Polyp detection inVirtual ColonoscopyApply vector field visualisation techniques!Maximum curvature directionMinimum curvature direction

Polyp detection inVirtual ColonoscopySurface constrained streamlines: extra features for classifation of true positive polyps.

Molecular ImagingBioluminescence imaging + CT and MRIGenetically modified miceTracking cancerous cell clusters over time