Generation method for generating training data for training artificial intelligence for improving visualisations of scanning results from scanning devices for scanning objects

A method to generate training data for AI enhances visualization accuracy in less expensive scanning devices by creating reduction pairs, enabling them to simulate high-quality visualizations using artificial intelligence.

WO2025252609A1PCT designated stage Publication Date: 2025-12-11SMITHS DETECTION GERMANY GMBH
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Patent Information

Application Number
PCT/EP2025/065017
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-06-05
Filing Date
2025-05-30
Publication Date
2025-12-11

AI Technical Summary

Technical Problem

Existing scanning devices, especially those outside security areas, lack the capability to produce high-quality visualizations due to their cost-effectiveness and complexity, necessitating expensive and complex equipment for improved visualization.

Method used

A generation method that creates training data by capturing real scan results with high accuracy, generating reduced scan results, forming reduction pairs, and combining them into a dataset to train artificial intelligence for enhancing visualization accuracy, allowing simpler devices to simulate high-quality visualizations.

Benefits of technology

The trained artificial intelligence can enhance the visualization accuracy of less expensive scanning devices by digitally improving pixel resolution and noise filtering, effectively mimicking the performance of costly devices.

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Abstract

The present invention relates to a generation method for generating training data (TD) for training artificial intelligence (AI) for improving visualisations of scanning results (SE) from scanning devices for scanning objects, comprising the following steps: - acquiring a plurality of real scanning results (RLSE) with a real visualisation accuracy (RLV) from at least one scanning device, - generating reduced scanning results (RDSE) with reduced visualisation accuracy (RDV) for each real scanning result (RLSE), - storing at least one reduced scanning result (RDSE) for each real scanning result (RLSE) as a reduction pair (RP), - combining all reduction pairs (RP) in a set of training data (TD).
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Citation Information

Patent Citations

  • Multi-task high-quality CT image reconstruction method based on low dose and super-resolution

    CN115953494B