http://www.VRVis.at/

Helwig Hauser

VRVis Research Centerhttp://www.VRVis.at/

Thoughts on Medical Visualization –

my 2 [Euro-]cents

2 Thoughts on Medical VisualizationHelwig Hauserhttp://www.VRVis.at/

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 Thoughts on Medical VisualizationHelwig Hauserhttp://www.VRVis.at/

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-enhancedMRI

time2peak,intensity

redundantvis.

4 Thoughts on Medical VisualizationHelwig Hauserhttp://www.VRVis.at/

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 Thoughts on Medical VisualizationHelwig Hauserhttp://www.VRVis.at/

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 Thoughts on Medical VisualizationHelwig Hauserhttp://www.VRVis.at/

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 Thoughts on Medical VisualizationHelwig Hauserhttp://www.VRVis.at/

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 Thoughts on Medical VisualizationHelwig Hauserhttp://www.VRVis.at/

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 Thoughts on Medical VisualizationHelwig Hauserhttp://www.VRVis.at/

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 SimVis.at