Single shot machine learning based phase retrieval for the X-ray phase imaging

被引：0

作者：

Ueda, Ryosuke ^{[1
]}

Momose, Atsushi ^{[1
]}

机构：

[1] Tohoku Univ, Inst Multidisciplinary Res Adv Mat, Sendai, Japan

来源：

JOURNAL OF ADVANCED SIMULATION IN SCIENCE AND ENGINEERING | 2024年 / 11卷 / 01期

关键词：

X-ray phase imaging; machine learning; phase retrieval method; INTERFEROMETER; TOMOGRAPHY;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The phase contrast image has higher sensitivity to materials with light elements than the conventional absorption contrast. The phase image is obtained by computer processing of the measured fringe image. The Fourier transform method is known as a method to obtain a phase image from a single fringe image. However, the method cannot produce images with high spatial resolution. In this study, we present a method to obtain phase images with high spatial resolution using machine learning.

引用

页码：188 / 200

页数：13

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