Automated Fluoroscopy Planning for Interventional Entry
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Solution Overview
Problem
Current methods for planning 2D fluoroscopy projections for interventional procedures using fixed instruments, such as aspiration needles, require manual adjustment and result in unnecessary patient radiation exposure and prolonged procedure times, especially when navigating close to critical structures like vertebrae or blood vessels.
Innovation Solution
A method that involves pre-interventional 3D data recording using CT, MRI, or 3D angiography to plan the optimal projection direction and instrument path, which is then automatically set for the fluoroscopy system, reducing radiation exposure and procedure time by allowing precise visualization of critical structures without manual optimization under fluoroscopy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual optimization of fluoroscopy projection direction is performed during the intervention, then the visualization quality can be improved, but the patient is subjected to unnecessary radiation dose and the procedure time is prolonged
Solution Approach 1:
The patent applies preliminary action by performing 3D data acquisition (CT, MRI, or 3D angiography) and automated planning of the optimal fluoroscopy projection direction before the actual intervention. This allows the projection direction to be pre-optimized based on pre-interventional 3D anatomy data, eliminating the need for manual optimization during fluoroscopy and thereby reducing unnecessary radiation exposure while maintaining visualization quality.
2Measurement precision
If manual adjustment of C-arm position is performed to optimize projection direction, then the visualization of critical structures can be improved, but the procedure time is increased
Solution Approach 1:
The patent replaces the manual mechanical adjustment process with an automated computational system. The system automatically calculates the optimal C-arm position and projection direction based on pre-interventional 3D data, eliminating the need for manual trial-and-error adjustment during the procedure. This significantly reduces procedure time while ensuring optimal visualization of critical structures through precise automated positioning.
Solution Approach 2:
The optimal projection direction and C-arm position are determined in advance using 3D imaging data and computational algorithms before the intervention begins. This preliminary planning eliminates the need for time-consuming manual adjustments during the actual procedure, as the optimal settings are already established based on pre-acquired anatomical data.
3Measurement precision
If multiple-stage optimization of projection direction is performed during fluoroscopy, then the visualization quality can be improved, but the patient radiation dose increases
Solution Approach 1:
The patent performs all necessary optimization stages before the intervention by using pre-interventional 3D data (CT, MRI, or 3D angiography) to computationally determine the optimal projection direction. This eliminates the need for multiple iterative optimization stages during fluoroscopy, as the optimal direction is already identified through preliminary 3D imaging and automated planning algorithms, thereby reducing total radiation dose while maintaining visualization quality.
Data Source
AI summary
Method for pre-interventional planning of a 2D fluoroscopy projection for an interventional entry using a fixed instrument, comprising the following steps:a) Recording a 3D data set,b) Planning the intervention,c) Planning the optimum projection direction,d) Registering the 3D data set with a navigation system and a 2D fluoroscopy system,e) Transmission of the intervention data to the navigation system,f) Computing the position of the fluoroscopy system, andg) Executing the interventional entry under fluoroscopy.