CT reconstruction with k-edge filtering

K-edge filters and advanced data processing techniques address beam hardening artifacts and noise in polychromatic CT systems, enhancing spectral imaging efficiency and accuracy.

WO2025188746A1 Publication Date: 2025-09-11CARL ZEISS X-RAY MICROSCOPY INC
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Patent Information

Application Number
PCT/US2025/018330
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-03-08
Filing Date
2025-03-04
Publication Date
2025-09-11

AI Technical Summary

Technical Problem

Polychromatic X-ray beams in CT systems suffer from beam hardening artifacts and limited material differentiation due to detector sensitivity across a broad energy range, necessitating precise knowledge of X-ray source spectra and detector sensitivities, which is challenging with existing techniques like Ross spectrometers that have long acquisition times and high noise.

Method used

A method involving K-edge filters and advanced data processing techniques to acquire and combine projections, register images, and apply AI-based reconstruction to reduce noise and artifacts, enabling low-noise spectral imaging.

Benefits of technology

Enhances the practical utility of Ross spectrometers by reducing acquisition times and noise, improving image quality and material differentiation in CT reconstructions.

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Abstract

Data processing and reconstruction techniques that enhance the practical utility of Ross spectrometers, by addressing the issues of long acquisition times and / or high degrees of noise associated with Ross spectrometers. By applying these techniques to noisy data, it is possible to generate low-noise spectral images, which can significantly increase the practical utility of the spectrometers.
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