UHの研究者がX線イメージングにおける画期的な技術を発表(UH Researchers Unveil Groundbreaking Technique in X-Ray Imaging)

ad

2024-08-14 ヒューストン大学(UH)

ヒューストン大学の研究者たちは、医療診断や産業イメージング、交通安全などに大きな改善をもたらす革新的なX線イメージング技術を開発しました。この技術は、従来のX線技術が苦手とする類似した密度の材料間でのコントラストを向上させ、低線量での高コントラスト画像を実現します。新しい光伝達モデルを用いた単一マスク位相イメージングシステムは、柔らかい組織やプラスチック、爆発物などの非破壊深部イメージングを可能にし、今後は現場での実用化を目指しています。

<関連情報>

シングルマスクX線微分位相コントラストイメージングのための強度輸送モデル Transport-of-intensity model for single-mask x-ray differential phase contrast imaging

Jingcheng Yuan and Mini Das
Optica  Published: April 5, 2024
DOI:https://doi.org/10.1364/OPTICA.510537

UHの研究者がX線イメージングにおける画期的な技術を発表(UH Researchers Unveil Groundbreaking Technique in X-Ray Imaging)

Abstract

X-ray phase contrast imaging holds great promise for improving the visibility of light-element materials such as soft tissues and tumors. The single-mask differential phase contrast imaging method stands out as a simple and effective approach to yield differential phase contrast. In this work, we introduce a model for a single-mask phase imaging system based on the transport-of-intensity equation. Our model provides an accessible understanding of signal and contrast formation in single-mask x-ray phase imaging, offering a clear perspective on the image formation process, for example, the origin of alternate bright and dark fringes in phase contrast intensity images. Aided by our model, we present an efficient retrieval method that yields differential phase contrast imagery in a single acquisition step. Our model gives insight into the contrast generation and its dependence on the system geometry and imaging parameters in both the initial intensity image as well as retrieved images. The model validity as well as the proposed retrieval method are demonstrated via both experimental results on a system developed in house as well as Monte Carlo simulations. In conclusion, our work not only provides a model for an intuitive visualization of image formation but also offers a method to optimize differential phase imaging setups, holding tremendous promise for advancing medical diagnostics and other applications.

1700応用理学一般
ad
ad
Follow
ad
タイトルとURLをコピーしました