Stabilizing Fly-In Visualization of Tubular Objects via 2D Centerline Projection
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Solution Overview
Problem
Existing visualization methods for tubular objects, such as the colon, suffer from erratic camera movements due to bending and torsion, leading to unstable and difficult-to-interpret composite images, which can result in missed anomalies during radiological examinations.
Innovation Solution
The method stabilizes camera movements by transforming the tubular object's centerline into a 2D plane, ensuring constant look-at and view-up vectors, thereby minimizing erratic movements and simplifying visualization with minimal loss of internal surface details.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the Fly-In method uses a virtual camera rig to map curved regions into 2D images, then the visualization speed and coverage are improved, but the camera movements become erratic due to tubular object bending and torsion, reducing image stability
Solution Approach 1:
The patent transforms the 3D centerline of the tubular object into a 2D plane representation. By projecting the centerline points onto a 2D plane and using this transformed centerline to guide camera movement, the method eliminates the effect of 3D bending and torsion on camera orientation, thereby stabilizing the visualization while maintaining the speed benefits of the Fly-In method
Solution Approach 2:
The patent changes the parameter space by transforming the camera orientation control from 3D space (where look-at and view-up vectors vary with position) to a stabilized coordinate system. By defining look-at and view-up vectors in the transformed 2D plane rather than in the original 3D space, the camera movements become smooth and consistent, resolving the instability caused by tubular object geometry
2Manufacturing precision
If the look-at and view-up vectors are changed at each position along the centerline to follow tubular object geometry, then the accuracy of surface detail capture is improved, but the unsmooth camera movement creates large differences between consecutive images, making composite images difficult to interpret
Solution Approach 1:
By transforming the centerline to a 2D plane, the patent creates a simplified navigation path that maintains surface detail accuracy while eliminating the erratic orientation changes. The camera follows the transformed 2D centerline with constant look-at and view-up vectors, producing smooth transitions that are easy to interpret while still capturing accurate surface details
Solution Approach 2:
The patent performs the centerline transformation into a 2D plane before the visualization process begins. This preliminary transformation establishes a stable reference frame that guides subsequent camera movements, ensuring both accuracy and smoothness without requiring real-time adjustments during image capture
Data Source
AI summary
The present development is a method for providing stable visualization of tubular objects. The method simplifies visualization using a Fly-Ln approach without loss of internal surface details. The method uses graphical programming, and can be easily integrated with commercially available visualization programs, such as Virtual Colonoscopy (VC) or Computed Tomography Colonography (CTC).