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相关概念视频

X-ray Imaging01:24

X-ray Imaging

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German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
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Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

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The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
Definition and Purpose
An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...
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Computed Tomography01:10

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Imaging Studies III: Computed Tomography01:27

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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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相关实验视频

Updated: Feb 19, 2026

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
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高速定量X射线多对比成像与基于深度学习的模块化模式分析.

Zhi Qiao1, Yudong Yao1, Hongyu Chen1

  • 1Center of Transformative Science, ShanghaiTech University, Shanghai 201210, China.

Journal of synchrotron radiation
|February 17, 2026
PubMed
概括
此摘要是机器生成的。

基于增强扫描模式的成像神经网络 (ESPINNet) 提供更快,高分辨率的X射线成像. 这种先进的AI工具可以实时改善材料和生物样本的多对比可视化.

关键词:
在波长的X射线计量学.深度学习是一种深度学习.阶段对比成像成像 阶段对比成像斑点跟踪跟踪 斑点跟踪波浪前线传感 波浪前线传感

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科学领域:

  • 物理 物理学 物理
  • 材料科学 材料科学 材料科学
  • 生物医学成像技术 生物医学成像技术

背景情况:

  • X射线多对比成像 (吸收,相位,暗场) 可以实现非破坏性的可视化.
  • 在X射线图案分析的低效率限制了高分辨率的,在现场成像应用.

研究的目的:

  • 引入基于扫描模式的增强成像神经网络 (ESPINNet),用于高速,高分辨率的定量成像.
  • 通过启用暗场图像生成来增强以前神经网络的功能.

主要方法:

  • 利用扫描模式来提高分辨率和测量精度.
  • 使用一种神经网络架构 (ESPINNet),可以适应各种调制模式 (砂纸,编码面具,网格).

主要成果:

  • 与基于关联的方法 (XSVT,UMPA) 相比,ESPINNet实现了更快的数据收集.
  • 在分辨率和速度方面表现出平衡的性能,需要更少的扫描图像.
  • 可实现实时2D和3D多对比成像.

结论:

  • ESPINNet是一个用于高速,现场X射线成像的变革性解决方案.
  • 由于其适应性和增强的能力,在材料科学和生物医学研究中具有广泛的应用.