http:// helwig hauser vrvis research center thoughts on medical visualization – my 2 [euro-]...
Post on 21-Dec-2015
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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