Rigid Endoscope Alignment for 3D Organ Model Visualization
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Solution Overview
Problem
Current medical imaging methods during surgery, such as using rigid endoscopes, require operators to mentally compensate for differences between preoperative 3D models and actual organ appearances or manually register them, placing a burden on users.
Innovation Solution
A medical image processing device that estimates an orientation matrix for a 3D organ model based on real-time medical images, automatically adjusting the display to match the actual organ's orientation and reducing the need for manual registration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a 3D organ model is displayed during surgery, then anatomical structures can be visualized, but the operator must mentally compensate for differences between the model and actual organ appearance
Solution Approach 1:
The system automatically estimates the orientation matrix from the endoscope image and applies it to the 3D organ model without requiring manual intervention. The processor autonomously performs the registration task by extracting feature points from the endoscope image, calculating the orientation matrix, and transforming the 3D model accordingly, thereby eliminating the need for operators to mentally compensate for misalignment.
2Measurement precision
If manual registration is performed to align the 3D model with the actual organ, then alignment accuracy is improved, but additional manual operation is required
Solution Approach 1:
The patent replaces manual mechanical registration operations with an automated computational approach. The processor automatically calculates the orientation matrix by extracting feature points from the endoscope image and computing the transformation parameters, eliminating the need for manual adjustment operations while maintaining alignment accuracy through mathematical computation.
Solution Approach 2:
The system performs self-registration by automatically estimating the orientation matrix from the endoscope image without requiring operator intervention. The processor extracts feature points, calculates the orientation matrix, and applies it to the 3D organ model autonomously, achieving accurate alignment without manual operation.
3Manufacturing precision
If the 3D organ model is dynamically adjusted to match actual organ orientation, then surgical precision is enhanced, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary extraction of feature points and calculation of the orientation matrix in real-time from the endoscope image. By pre-processing the image data and computing the transformation parameters before displaying the 3D model, the system minimizes the processing time required for dynamic adjustment while maintaining high surgical precision.
Data Source
AI summary
A 3D organ model acquisition unit acquires a 3D organ model. A rigid endoscope image acquisition unit acquires a rigid endoscope image including an organ to be observed. An orientation matrix estimation unit estimates an orientation matrix representing an orientation of the organ to be observed included in the rigid endoscope image in a three-dimensional coordinate system used for the 3D organ model. A display control unit controls display of the 3D organ model based on the orientation matrix.