1. http://www.VRVis.at/ Helwig Hauser VRVis Research Center http://www.VRVis.at/ Thoughts on Medical Visualization – my 2 [Euro-] cents

2. Helwig Hauser http://www.VRVis.at/ 2Thoughts on Medical Visualization Application Spots (1/2)  Screening  may take (almost) no time  as automatic as possible!  no searching if possible  one picture says it all?! Example: virtual colonoscopy [Frits Post, Dagstuhl 2003]  faster  better  reliable  cleansing!  app. eng.!  evaluation!

3. Helwig Hauser http://www.VRVis.at/ 3Thoughts on Medical Visualization Application Spots (1/2)  Screening […]  Diagnosis  may take a few minutes  no playing ‘round!  needs to be task-specific  requires robust, trusted techniques (no magic!) Example: mammography [Bernhard Preim, Wien 2004]  contrast- enhanced MRI  time2peak, intensity  redundant vis.

4. Helwig Hauser http://www.VRVis.at/ 4Thoughts on Medical Visualization Application Spots (2/2)  Training/planning  field of vis. opportunities!  success stories (virtual endoscopy, facial reconstr., …)!  more/better simulation needed (tissues)  addresses interface technology (haptics!) Example: virtual pituitary surgery [André Neubauer, Austin 2004]  different modes  tissue simulation  haptic feedback  slices context

5. Helwig Hauser http://www.VRVis.at/ 5Thoughts on Medical Visualization Application Spots (2/2)  Training/planning […]  Education/presentation  medical illustration  medical publications  time! Example: NPR for medical illustration [Bernhard Preim, Bremen 2005]  focus+context  mix of styles  color vs. gray  accentuation  cut-away  annotations

6. Helwig Hauser http://www.VRVis.at/ 6Thoughts on Medical Visualization Selected MedVis Issues  Make use of “cheap” data, e.g., x-ray images (just a few), ultra-sound data (4D!)  Better integration with segmentation, registr., etc. (visualizing segmented data, vision research)  MedVis  time-dependent (4D data, e.g., blood flow; patient history)  MedVis  multi-dimensional (multi-modal, multi-sensor)  InfoVis for MedVis (heterogeneous data)

7. Helwig Hauser http://www.VRVis.at/ 7Thoughts on Medical Visualization Golden Rules  Be friend with 2D (link 2D & 3D, both: interaction)  Model-based visualization, application-specific  Avoid parameters (useful defaults)  Utilize segmentation if available  Emphasize (focus), semantically  Provide anatomical context  Visualize uncertainty  Allow for quantification  On-image interaction (avoid context switches) [adapted from Bernhard Preim‘s 7 Golden Rules for MedVis, Dagstuhl 2003]

8. Helwig Hauser http://www.VRVis.at/ 8Thoughts on Medical Visualization My priorities (fast fwd recap)  Interactive visual analysis (cf. NVAC, etc.)  establishing a visual dialog user—data/information  allowing for asking questions about the data  Meeting the user (doctor)  knowing the user (and his/her tasks/challenges)  moving vis. interface language towards the users  Focus on what to show (as compared to how to vis.)  build-up of semantical layers on top of the data  focus+context visualization  Integration with other approaches (statistics, DM)  New stages of complexity (nD, time-dep., …)

9. Helwig Hauser http://www.VRVis.at/ 9Thoughts on Medical Visualization SimVis  nD, time-dependent simulation data  visualization of attribute space (InfoVis) linked to visualization of spatial & temporal data  interact. user queries, example: show hot fluid which is slow and near the boundary (cooling jacket)  DPF example DPF example  SimVis.at SimVis.at