CT imaging

By leveraging high-resolution conventional CT images to refine low-resolution spectral base images, spectral CT imaging systems can produce high-quality images efficiently, addressing data processing and storage challenges.

WO2026008447A1 Publication Date: 2026-01-08KONINKLIJKE PHILIPS NV
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Patent Information

Application Number
PCT/EP2025/068077
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-07-04
Filing Date
2025-06-26
Publication Date
2026-01-08

AI Technical Summary

Technical Problem

Spectral CT imaging systems generate large amounts of data, leading to increased processing times and storage demands due to higher resolution requirements, necessitating down-sampling that results in low-resolution images, which are less useful for diagnosis.

Method used

Utilize high-resolution conventional CT images to recover the resolution of low-resolution spectral base images by generating at least two candidate resolution recovered spectral base images, refining them based on gradient values and differences with the high-resolution CT image, and employing machine learning models for improved accuracy.

Benefits of technology

Enables on-demand generation of high-resolution spectral base images, reducing processing times and storage needs while maintaining image quality for clinical diagnosis.

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Abstract

The invention provides methods and systems pertaining to a method for recovering resolution of spectral base images acquired using spectral CT imaging techniques. In particular, embodiments aim to provide a method for generating resolution recovered spectral base images of a field of view of a high resolution based on low-resolution spectral base images of the field of view of a first resolution and a high resolution CT image of the field of view of a high resolution.
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