Digital Radiography Magnification Correction for Accurate Image Overlay

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Solution Overview

Problem

Conventional radiography relies heavily on operator interpretation for detecting features of interest, which can lead to erroneous identifications and increased maintenance costs due to reliance on expertise and manual inspection processes.

Innovation Solution

Implementing a digital X-ray imaging system with automated detection and real-time magnification correction, using sensors and machine vision to measure and analyze image features, reducing reliance on operator expertise and improving detection accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If automated detection with magnification correction is implemented, then detection accuracy is improved, but device complexity increases

Engineering Contradiction:

Improvedetection accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the image processing task into distinct modules: magnification correction module that adjusts for geometric distortion, automated feature detection module that identifies objects of interest, and analysis module that interprets detected features. This modular approach improves detection accuracy while managing system complexity through organized functional separation.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary computing device that acts as a bridge between the radiographic imaging system and the analysis tools. This intermediary processes images, applies magnification corrections, and provides automated detection, thereby improving accuracy without requiring direct complex integration into the core imaging hardware.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If manual inspection processes are used, then operator expertise can be applied, but time consumption and costs increase

Engineering Contradiction:

Improveinspection qualityVSAvoidinspection time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system implements self-service automation where the imaging system automatically performs detection, measurement, and analysis functions that previously required manual operator intervention. The automated detection algorithms independently identify and characterize features, reducing both inspection time and dependency on operator availability while maintaining consistent quality.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system incorporates feedback mechanisms where detection results are automatically analyzed and used to guide further inspection or trigger alerts. This closed-loop approach maintains high inspection quality by continuously monitoring and adjusting based on detected features, while significantly reducing the time operators need to spend on routine analysis.

Inventive Principle:

Principle #23Feedback

3Measurement precision

If magnification correction is applied, then measurement accuracy is improved, but processing complexity increases

Engineering Contradiction:

Improvefeature measurement accuracyVSAvoidprocessing complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system performs magnification correction as a preliminary processing step before feature detection and measurement. By pre-correcting the geometric distortion in the radiographic image based on known system parameters, subsequent measurements are more accurate without requiring complex real-time calculations during the main analysis phase.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The magnification correction is achieved by adjusting processing parameters rather than fundamentally changing the imaging system. The system modifies image scale factors and geometric transformation parameters to compensate for magnification effects, improving measurement accuracy through parameter optimization rather than hardware complexity.

Inventive Principle:

Principle #35Parameter changes

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

Enhances detection accuracy by providing real-time feedback and automated analysis, reducing false positives and negatives, and lowering inspection costs through improved efficiency and speed.

Implementation Method 1

a radiation emitter configured to output the radiation

Methodology Applied

Scientific EffectX-ray radiation: X-Ray

Implementation Method 2

a radiation detector configured to generate a digital image based on incident radiation

Methodology Applied

Scientific EffectRadiation detection: X-Ray

Data Source

PatentUS12478336B2Systems and methods for compensating magnification and overlaying images in digital radiographic imaging

Publication Date: 2025.11.25 QSA GLOBAL INC

AI summary

An example portable radiography scanning system includes: a radiation detector configured to generate digital radiography images based on incident radiation; a radiation emitter configured to output the radiation; and a computing device configured to: receive the digital radiography images from the radiation detector; compensate one or more of the digital radiography images for variations in magnification of the digital radiography images; and store one or more compensated radiography images based on the magnification compensation and associated with physical location information.