X-Ray Projection Geometry Planning for Vascular Instrument Navigation

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Solution Overview

Problem

Existing minimally invasive procedures in vascular structures face challenges with manual adjustment of projection geometry in X-ray facilities, leading to suboptimal image quality, frequent repositioning, and inefficient use of X-ray dose, requiring significant user interaction.

Innovation Solution

A computer-implemented method that uses a vascular model to optimize projection geometries by minimizing changes in geometry and enhancing image quality, reducing X-ray dose, and automating adjustments using a positioning facility.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual adjustment of projection geometry is performed to improve image quality, then image quality is improved, but time consumption and user workload increase

Engineering Contradiction:
Improveimage qualityVSAvoidtime consumption
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system automatically determines and adjusts projection geometries without requiring manual user input. The control facility autonomously processes vascular models and instrument positions to select optimal projection angles, eliminating the need for users to manually adjust geometry while maintaining high image quality throughout the procedure

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Projection geometries are pre-calculated and stored in a database before the actual intervention. The system retrieves and applies these pre-determined geometries based on the current instrument position and procedural stage, avoiding the need for real-time manual adjustment during the procedure

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If manual adjustment of projection geometry is performed to improve image quality, then image quality is improved, but device complexity and ease of operation deteriorate

Engineering Contradiction:
Improveimage qualityVSAvoidease of operation
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The control facility automatically manages projection geometry selection and adjustment based on vascular models and instrument positions. The system self-determines optimal geometries without requiring users to understand complex geometric parameters or perform manual adjustments, significantly improving ease of operation while maintaining high image quality

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

A control facility acts as an intermediary between the vascular model data and the X-ray facility positioning. This intermediary automatically translates anatomical information into optimal projection geometries, shielding users from complex geometric calculations while ensuring high-quality imaging

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If frequent repositioning of support is performed to optimize image contents, then image quality is improved, but productivity and time efficiency deteriorate

Engineering Contradiction:
Improveimage qualityVSAvoidworkflow efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

Optimal projection geometries are pre-calculated and stored in a database before the intervention begins. The system retrieves these pre-determined geometries based on the current instrument position and procedural stage, eliminating the need for frequent repositioning during the procedure while maintaining high image quality throughout

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system maintains continuous optimal imaging by automatically selecting from pre-calculated geometries as the instrument progresses through the vascular structure. This ensures high image quality is maintained throughout the entire procedure without interrupting the workflow for manual repositioning or geometry adjustment

Inventive Principle:
Principle #20Continuity of useful action

4Measurement precision

If manual adjustment of projection geometry is performed, then image quality is improved, but loss of time due to communication and coordination increases

Engineering Contradiction:
Improveimage qualityVSAvoidcommunication time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The control facility autonomously determines optimal projection geometries based on vascular models and instrument positions without requiring communication between the user and technical assistant. The system independently processes anatomical data and automatically adjusts geometry, eliminating coordination time while maintaining high image quality

Inventive Principle:
Principle #25Self-service

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The method provides high-quality image navigation with reduced user strain, efficient workflow, and minimized X-ray exposure by automatically adjusting projection geometries based on optimized vascular models.

Implementation Method 1

an X-ray tube assembly and an X-ray detector are arranged opposite each other

Methodology Applied
Scientific EffectX-ray radiation: X-Ray

Data Source

PatentUS20250345119A1Computer-implemented method for operating an x-ray facility, x-ray facility, computer program, and electronically readable data carrier
Publication Date: 2025.11.13 SIEMENS HEALTHINEERS AG
  • US20250345119A1 patent drawing
  • US20250345119A1 patent drawing
  • US20250345119A1 patent drawing

AI summary

A method for operating an X-ray facility includes supplying a vascular model of a vascular structure. A target position of an instrument that may move in the vascular structure, a starting position of the instrument in the vascular structure of the vascular model, and a path in the vascular structure of the vascular model are marked in the vascular model. Support points are defined along the path. An optimized course of projection geometries is ascertained for the support points in an optimization process of a target function using the vascular model. Apart from at least one first term, the target function also includes at least one second term that minimizes the number of changes in the projection geometry along the path due to movement of the support. Positioning parameters for actuating the positioning facility are ascertained for each projection geometry.