Automated X-Ray Image Parameter Adjustment for Catheter Intervention

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Solution Overview

Problem

The optimization of x-ray image recording parameters during minimally invasive interventions is challenging due to the increased number of adjustable parameters, which can lead to suboptimal imaging quality, especially when medical professionals are focused on the intervention rather than adjusting the equipment.

Innovation Solution

An automated method using computer object recognition to adjust x-ray image recording parameters, allowing for continuous optimization of image quality by determining variables such as image definition, brightness, and contrast, and adjusting settings like patient table coordinates, collimator settings, and x-ray tube voltage, enabling the system to adapt and improve image quality without manual intervention.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If the number of adjustable x-ray image recording parameters is increased to improve imaging quality, then the imaging quality can be optimized, but the complexity of parameter adjustment increases and requires more time and expertise

Engineering Contradiction:
Improveimaging qualityVSAvoidparameter adjustment complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system automatically adjusts x-ray image recording parameters by analyzing the imaged structure and autonomously determining optimal settings, eliminating the need for manual parameter optimization by users or additional personnel

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system records reference images, automatically evaluates the imaged structure, and uses this feedback to adjust parameters for subsequent images, creating a closed-loop control system that continuously optimizes imaging quality

Inventive Principle:
Principle #23Feedback

2Manufacturing precision

If manual adjustment of x-ray parameters is performed to optimize image quality, then imaging quality can be improved, but the user's attention is diverted from the actual intervention and diagnosis

Engineering Contradiction:
Improveimaging qualityVSAvoiduser focus on intervention
Core Design Contradiction:
Manufacturing precisionVSEase of operation

Solution Approach 1:

The x-ray system performs self-adjustment of parameters by automatically analyzing images and modifying settings without requiring user intervention, allowing medical professionals to focus entirely on patient care

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Manual parameter adjustment is replaced by an automated computer-based system that uses image analysis and algorithms to determine optimal parameters, substituting human cognitive resources with automated processing

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Manufacturing precision

If additional personnel are assigned to adjust x-ray parameters to ensure optimal imaging, then imaging quality can be maintained, but the operational cost and system complexity increase

Engineering Contradiction:
Improveimaging qualityVSAvoidpersonnel requirements
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system autonomously performs parameter optimization without requiring dedicated personnel, reducing operational costs and simplifying the organizational structure of the facility

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Human operators are replaced by an automated system that uses computer vision and control algorithms to perform parameter adjustment functions previously requiring trained personnel

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

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

This approach allows for improved image quality and reduced radiation exposure by automatically adjusting x-ray image recording parameters, enabling medical professionals to focus on the intervention while ensuring optimal imaging of interventional instruments like catheters, reducing the need for additional personnel to manage the equipment.

Implementation Method 1

an x-ray device (20) which is designed to automatically recognize specific objects in images recorded by the x-ray device

Methodology Applied
Scientific EffectX-ray radiation: X-Ray

Data Source

PatentUS7460642B2Method for generating an x-ray image sequence
Publication Date: 2008.12.02 SIEMENS HEALTHINEERS AG
  • US7460642B2 patent drawing
  • US7460642B2 patent drawing
  • US7460642B2 patent drawing

AI summary

With a method for generating an x-ray image sequence for supporting an intervention on a patient with a catheter or guide wire for instance, automatic recognition of the catheter is carried out with recorded x-ray images using a computer system. The x-ray image recording parameters are changed on the basis of the determined quality of the imaging of the object, with the x-ray device preferably being automatically activated with the changed x-ray image recording parameters, to record x-ray images. The doctor can therefore concentrate on the actual intervention and does not have to worry about operating the x-ray device.