Surgical Image Positioning via Point-Cloud Camera Alignment
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Solution Overview
Problem
Existing surgical image navigation technologies face challenges in accurately aligning X-ray images with stereographic images due to errors in spatial relationship between the X-ray image capturing position and the positioning point on the capturing target, leading to cumulative errors in navigation.
Innovation Solution
The operation image positioning method utilizes a point-cloud camera and an image positioning camera to capture images containing positioning marks, allowing a computer system to compute conversion modules to accurately align X-ray images with positioning images, thereby reducing errors in surgical navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image navigation technology is used, then the basic alignment function is achieved, but positioning accuracy deteriorates due to spatial relationship errors
Solution Approach 1:
The patent introduces a point-cloud camera as an intermediary device to capture three-dimensional spatial information of the surgical field. This point-cloud data serves as a mediator between the X-ray imaging system and the navigation system, enabling accurate registration and transformation of coordinate systems to improve positioning accuracy while maintaining reliability.
Solution Approach 2:
The patent replaces conventional mechanical alignment methods with computational algorithms that process point-cloud data and X-ray images. By using computer vision and image processing techniques to calculate transformation matrices, the system achieves more precise spatial relationship mapping without relying on mechanical adjustment mechanisms.
2Measurement precision
If point-cloud camera is used to capture spatial information, then positioning accuracy is improved, but device complexity increases
Solution Approach 1:
The patent makes the point-cloud camera serve multiple functions: capturing three-dimensional spatial information, providing reference markers for calibration, and enabling real-time registration between different imaging systems. This multi-functionality reduces the need for separate specialized devices, thereby managing system complexity while improving positioning accuracy.
Solution Approach 2:
The patent merges the point-cloud camera system with the existing X-ray imaging and navigation systems into an integrated platform. By combining these systems and sharing computational resources and processing pipelines, the patent reduces overall system complexity while achieving improved positioning accuracy through the synergistic integration of multiple technologies.
3Measurement precision
If multiple conversion modules are computed to align images, then navigation accuracy is improved, but computational time increases
Solution Approach 1:
The patent performs preliminary computation of transformation matrices and spatial relationships during the setup and calibration phase, before the actual surgical navigation begins. By pre-computing these conversion modules using point-cloud data and X-ray images, the system reduces real-time computational requirements during surgery, thereby improving navigation accuracy without significant time loss during critical procedures.
Data Source
AI summary
An operation image positioning method is disclosed. A point-cloud camera captures a point-cloud image of first and second positioning marks respectively fixed on a treated portion and an X-ray imaging machine. The first and second positioning marks within the point-cloud image are recognized to compute a first conversion module between the point-cloud camera and the treated portion and a second conversion module between the point-cloud camera and the X-ray imaging machine, thereby computing a third conversion module between the treated portion and the X-ray imaging machine. An image positioning camera captures a positioning image of the first positioning mark. The first positioning mark within the positioning image is recognized to compute a fourth conversion module between the image positioning camera and the treated portion. A fifth conversion module between the image positioning camera and the X-ray imaging machine is computed according to the third and fourth conversion modules.