08-10-2012, 12:18 PM
4D: Visualization
4D Visualization.ppt (Size: 9.38 MB / Downloads: 64)
Research Goals
Combine all manner of 3D models, images, video, and data in a coherent dynamic visualization to support spatio-temporal data understanding, information extraction, and dynamic scene change detection
Research Highlights
Robust tracking for outdoor unprepared environment
Portable hybrid tracking and data acquisition/fusion system
Natural feature tracking using vision sensors
Fusion of 2D video/images and 3D model
LiDAR data tessellation and model reconstruction
Real-time video texture projection and visualization
6DOF Auto-calibration technology
Detect and calibrate scene features (points and lines) to refine models and aid in tracking
Tracking in Unprepared Environments
People with sensors (or unmanned sensors) moving in environment provide textures and data for visualizations…
Where are they? Where are they looking?
Need 6DOF pose tracking over wide area outdoors
Varying sensor data availability and data rates
vision, GPS, inertial sensors
Varying certainty of measurements
spatial and temporal noise and precision
Fusion models and algorithms
underdetermined system needs constraints
real-time acquisition and execution on portable systems
Developed two tracking systems
Portable hybrid tracking and real-time data acquisition system
Natural feature tracking for computing motion of video sensor
4D Treatment Planning
Is it possible to daily re-plan?
3D Conformal? IMRT?
Is it practical to manage all the accumulated data offline and periodically re-plan?
Are breathhold techniques acceptable or do we require dynamic motion compensation in our delivery?
Is the incremental clinical benefit worth the cost?
Can the process be made efficient enough for the busy clinic?
Could we increase time per fraction and reduce the number of fractions to improve delivery?
Biology?
Reimbursement?
4D Visualization.ppt (Size: 9.38 MB / Downloads: 64)
Research Goals
Combine all manner of 3D models, images, video, and data in a coherent dynamic visualization to support spatio-temporal data understanding, information extraction, and dynamic scene change detection
Research Highlights
Robust tracking for outdoor unprepared environment
Portable hybrid tracking and data acquisition/fusion system
Natural feature tracking using vision sensors
Fusion of 2D video/images and 3D model
LiDAR data tessellation and model reconstruction
Real-time video texture projection and visualization
6DOF Auto-calibration technology
Detect and calibrate scene features (points and lines) to refine models and aid in tracking
Tracking in Unprepared Environments
People with sensors (or unmanned sensors) moving in environment provide textures and data for visualizations…
Where are they? Where are they looking?
Need 6DOF pose tracking over wide area outdoors
Varying sensor data availability and data rates
vision, GPS, inertial sensors
Varying certainty of measurements
spatial and temporal noise and precision
Fusion models and algorithms
underdetermined system needs constraints
real-time acquisition and execution on portable systems
Developed two tracking systems
Portable hybrid tracking and real-time data acquisition system
Natural feature tracking for computing motion of video sensor
4D Treatment Planning
Is it possible to daily re-plan?
3D Conformal? IMRT?
Is it practical to manage all the accumulated data offline and periodically re-plan?
Are breathhold techniques acceptable or do we require dynamic motion compensation in our delivery?
Is the incremental clinical benefit worth the cost?
Can the process be made efficient enough for the busy clinic?
Could we increase time per fraction and reduce the number of fractions to improve delivery?
Biology?
Reimbursement?