AUTOMATING ANALYSIS€¦ · Martin Vester-Christensen DEFORMALYZE • Experts in • Computed...
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Martin Vester-Christensen AUTOMATING ANALYSIS ...and making it work mandag den 30. maj 2011
Transcript of AUTOMATING ANALYSIS€¦ · Martin Vester-Christensen DEFORMALYZE • Experts in • Computed...
Martin Vester-Christensen
AUTOMATING ANALYSIS
...and making it work
mandag den 30. maj 2011
Martin Vester-Christensen
DEFORMALYZE• Experts in
• Computed Tomography
• Image analysis
• Statistics
• Data mining
• Mathematical modelling
• Services• Consultancy
• Data analysis
• Software development
• Algorithms
• Customized systems
mandag den 30. maj 2011
Martin Vester-Christensen
OUTLINE
CT IMAGE ANALYSIS ?
CASE: PIGCLASSWEB
ISSUES TO CONSIDER
mandag den 30. maj 2011
Martin Vester-Christensen
ANALYSIS ?
Extraction of Information
mandag den 30. maj 2011
Martin Vester-Christensen
CT IMAGE ANALYSIS• Materials Science
mandag den 30. maj 2011
Martin Vester-Christensen
CT IMAGE ANALYSIS• Materials Science
• Grain size
mandag den 30. maj 2011
Martin Vester-Christensen
CT IMAGE ANALYSIS• Materials Science
• Grain size
• Metrology• Wall thickness
mandag den 30. maj 2011
Martin Vester-Christensen
CT IMAGE ANALYSIS• Materials Science
• Grain size
• Metrology• Wall thickness
• Medical• Tumor detection
mandag den 30. maj 2011
Martin Vester-Christensen
CT IMAGE ANALYSIS• Materials Science
• Grain size
• Metrology• Wall thickness
• Medical• Tumor detection
• Industrial• Meat quality
mandag den 30. maj 2011
Martin Vester-Christensen
CASE: PIGCLASSWEB
mandag den 30. maj 2011
Martin Vester-Christensen
CASE: PIGCLASSWEBmandag den 30. maj 2011
Martin Vester-Christensen
CASE: PIGCLASSWEB
- System for✓ Retrieving✓ Storing✓ Processing✓ Analysing- CT scans of pig carcasses
- Web-based interface for✓ Visualisation✓ Simulation✓ Statistical analysis- In the browser
- Developed for
mandag den 30. maj 2011
Martin Vester-Christensen
Data Acquisition
CASE: PIGCLASSWEB
Object
Data Transmission
Processing
Simulation
Storage
mandag den 30. maj 2011
Martin Vester-Christensen
Data Acquisition
CASE: PIGCLASSWEB
Data Transmission
Processing
Simulation
Storage
Object
mandag den 30. maj 2011
Martin Vester-Christensen
CASE: PIGCLASSWEB
Data Transmission
Processing
Simulation
Storage
Object
Data Acquisition
mandag den 30. maj 2011
Martin Vester-Christensen
CASE: PIGCLASSWEB
Processing
Simulation
Storage
Object
Data Acquisition
Data Transmission
mandag den 30. maj 2011
Martin Vester-Christensen
CASE: PIGCLASSWEB
Simulation
Storage
Object
Data Acquisition
Data Transmission
Processing
mandag den 30. maj 2011
Martin Vester-Christensen
CASE: PIGCLASSWEB
Simulation
Object
Data Acquisition
Data Transmission
Processing
Storage
mandag den 30. maj 2011
Martin Vester-Christensen
CASE: PIGCLASSWEB
Object
Data Acquisition
Data Transmission
Processing
Storage
Simulation
mandag den 30. maj 2011
Martin Vester-Christensen
DATA ACQUISITION
• Position object • Consistently
• Minimize artefacts
• Optimal settings• Resolution / Amount of data
• Energy
• Price
• Reconstruction algorithm
• Operator • Discipline
• Immediate feedback helps
ISSUES TO CONSIDER
mandag den 30. maj 2011
Martin Vester-Christensen
CHOICE OF COORDINATE SYSTEM
DATA PROCESSINGISSUES TO CONSIDER
mandag den 30. maj 2011
Martin Vester-Christensen
CHOICE OF COORDINATE SYSTEM
DATA PROCESSINGISSUES TO CONSIDER
mandag den 30. maj 2011
Martin Vester-Christensen
DATA PROCESSINGISSUES TO CONSIDER
MEASUREMENT REPEATABILITY
mandag den 30. maj 2011
Martin Vester-Christensen
USABILITY
• Speed of response• Reduce amount of data
• Graceful degradation
• Optimize by precalculation
• K.I.S.S.• Visua-less
• Minimize click-ratio
ISSUES TO CONSIDER
mandag den 30. maj 2011
Martin Vester-Christensen
AUTOMATION
Key Selling Points !
mandag den 30. maj 2011
Martin Vester-Christensen
AUTOMATION
Key Selling Points !
mandag den 30. maj 2011
Martin Vester-Christensen
AUTOMATION
• Less operator workload
Key Selling Points !
mandag den 30. maj 2011
Martin Vester-Christensen
AUTOMATION
• Less operator workload• Minimize drag’n’drop operations
Key Selling Points !
mandag den 30. maj 2011
Martin Vester-Christensen
AUTOMATION
• Less operator workload• Minimize drag’n’drop operations
• Increased volume - more data
Key Selling Points !
mandag den 30. maj 2011
Martin Vester-Christensen
AUTOMATION
• Less operator workload• Minimize drag’n’drop operations
• Increased volume - more data
• Focus time on what is important
Key Selling Points !
mandag den 30. maj 2011
Martin Vester-Christensen
AUTOMATION
• Less operator workload• Minimize drag’n’drop operations
• Increased volume - more data
• Focus time on what is important
• Population based information
Key Selling Points !
mandag den 30. maj 2011
Martin Vester-Christensen
AUTOMATION
• Less operator workload• Minimize drag’n’drop operations
• Increased volume - more data
• Focus time on what is important
• Population based information• Sorting
Key Selling Points !
mandag den 30. maj 2011
Martin Vester-Christensen
AUTOMATION
• Less operator workload• Minimize drag’n’drop operations
• Increased volume - more data
• Focus time on what is important
• Population based information• Sorting
• Automatic QC
Key Selling Points !
mandag den 30. maj 2011
Martin Vester-Christensen
AUTOMATION
• Less operator workload• Minimize drag’n’drop operations
• Increased volume - more data
• Focus time on what is important
• Population based information• Sorting
• Automatic QC
• Product insight
Key Selling Points !
mandag den 30. maj 2011
Martin Vester-Christensen
AUTOMATION
• Less operator workload• Minimize drag’n’drop operations
• Increased volume - more data
• Focus time on what is important
• Population based information• Sorting
• Automatic QC
• Product insight
• Data re-use!
Key Selling Points !
mandag den 30. maj 2011
