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Visual Analytics for Cancer Care Engineering. Wei Chen, David S. Ebert June 20, 2008. Visual Analytics. The science of analytical reasoning facilitated by interactive visual interfaces. 3. 1. 2. Synthesize information and derive insight. Detect the expected and discover the unexpected. - PowerPoint PPT Presentation
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Visual Analytics for Cancer Care Engineering
Wei Chen, David S. Ebert
June 20, 2008
June 20, 2008
Visual Analytics
1
Synthesize information and derive insight
2
Detect the expected and discover the unexpected
3
Provide and communicate assessments
The science of analytical reasoning facilitated by
interactive visual interfaces.
June 20, 2008
Visual Analysis Goals
Effectively convey information to the userIncrease the quantity and clarity of the
informationAllow interactive visual analysis and
exploration
Database Analysis/Extraction
VisualMapping
DataCollection
Visual AnalysisVisual Analysis
Visual AnalysisVisual Analysis
Schema &Hypothesis Verification
Image
VisualVisual AnalysisVisualVisual Analysis
June 20, 2008
Related Fields of Study
June 20, 2008
PURVAC: Visual Analytics for Healthcare Monitoring and Management
Visual Analytics for Cancer Care Engineering
Treatment Planning
Health &Patient
Monitoring
Prevention &
PlanningBiomarker Detection
Data Integration, Privacy Preservation
Statistical & Analytical DataGeospatial Analysis
Factor and Correlative Analysis
OMICS Data
Patient Demographics
DietEnvironment
Health InformationExchanges
INPC
Statistical Modeling &Scalable Simulations
June 20, 2008
TADA: Technology Assisted Dietary Assessment (Boushey, Ebert, Delp, Craig, Lutes)
Goal: Provide nutritional information of food consumed by simply taking a picture of the plate of food before and after the meal using a cellphone
Application: Disease dietary assessment, weight loss
Process: Image segmentationVolume estimationNutritional calculation
June 20, 2008
Extract
Before Meal After Meal
Garlic bread
steak
Pork Rib
Food intake comparison
TADA Overview
June 20, 2008
Developing an Interactive Visual Analytics Environment – Health Surveillance
GUI Interface for SQL queriesUser selects are for investigation and new analysis is performed
Drill down to explore hospital data Look for correlating factors – fever
June 20, 2008
ModelingModeling• Peak identification• Statistical analysis• Correlative analysis• Sample
Classification
Patient Information
• Patient demographic • Clinic data• Historic data• …
Patient Information
• Patient demographic • Clinic data• Historic data• …
OMICS Samples• Genomics• Proteomics• Metabolomics • Lipidomics
OMICS Samples• Genomics• Proteomics• Metabolomics • Lipidomics
Datasets
Initial Data Sets
Bio-markers
PreviewVisualization
Exploration
Representation
Preprocess
Formatting
Initial Focus
June 20, 2008
GCxGC-TOF MS Samples (Leco)
June 20, 2008
2D TIC vs 3D Volumetric Representation
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June 20, 2008
2D TIC vs 3D Volumetric Representation
June 20, 2008
Preprocess: Noise Removal
June 20, 2008
Preprocess: Data Filtering
June 20, 2008
Visualization: Automatic Colorization
June 20, 2008
Visualization: Standard Slice View
June 20, 2008
Visualization: 3D Volume Visualization
Normal template Cancer template
June 20, 2008
Exploration: 3D Mass Spectrum
June 20, 2008
Exploration: 3D Comparative Navigation
FilteringComparison
June 20, 2008
Visualization: Detected Bio-markers
June 20, 2008
Visualization: Detected Bio-markers
June 20, 2008
Visualization: Detected Bio-markers
June 20, 2008
Revolution of the Working Mode
June 20, 2008
PURVAC: Visual Analytics for Healthcare Monitoring and Management
Linked Animal-Human Visual Analytics • Integrated temporal, geospatial, multisource, multiscale analytic
capability• Systemic biological pandemic, syndromic, chem/bio surveillance,
management, and response• Partners: NVAC, Purdue Veterinary Medicine, Indiana Board of Animal Health, Indiana
State Department of Health, linkage with Banfield veterinary data (2% of all pet dogs/cats/birds in US)
• Example: linked human, livestock, companion animal surveillance for seasonal influenza over the past 2 years
– Possible unique detection of seasonal childhood illness– Statistical correlative analysis of pet and human influenza– Example: Did a Mercaptan spill in June 2006 in Fairburn, Ga. cause
a public health incident?– No electronic ED data available– Utilize Banfield veterinary records and perform syndromic
geospatial temporal visual analytics
Visual Analytics for Cancer Care Engineering
Treatment Planning
Health &Patient
Monitoring
Prevention &
PlanningBiomarker Detection
Data Integration, Privacy Preservation
Statistical & Analytical DataGeospatial Analysis
Factor and Correlative Analysis
OMICS Data
Patient Demographics
DietEnvironment
Health InformationExchanges
INPC
Statistical Modeling &Scalable Simulations
June 20, 2008
Demonstrations
June 20, 2008
Acknowledgements
• Lingyan Liu (Department of Chemistry)• Daniel Raftery (Department of Chemistry)• Haiwei Gu (Department of Physics)• Ann Christine Catlin (Rosen Center for
Advanced Computing)• Phil Livengood from PURVAC• All project colleagues
