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