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相关概念视频

Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
Computed Tomography01:10

Computed Tomography

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...
Positron Emission Tomography01:29

Positron Emission Tomography

Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body being...

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相关实验视频

Updated: Jun 7, 2026

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
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精度:用于光子计数计算机断层扫描的受物理约束和噪声控制的扩散模型.

Ruifeng Chen, Zhongliang Zhang, Guotao Quan

    IEEE transactions on medical imaging
    |August 8, 2024
    PubMed
    概括
    此摘要是机器生成的。

    一种名为PRECISION的新方法通过学习图像特征来增强光子计数CT (PCCT) 中的材料基础图像. 这提高了元素组成的准确性,特别是在较低的辐射剂量下.

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    科学领域:

    • 医疗成像医学成像
    • 计算物理 计算物理

    背景情况:

    • 光子计数计算机断层扫描 (PCCT) 提供了先进的成像功能.
    • 提高材料基础图像质量和元素组成精度至关重要,特别是在低辐射剂量下.

    研究的目的:

    • 开发一种新的方法,准确性,以增强PCCT中的材料基础图像.
    • 解决噪声建模和规范化现有方法对材料基础成像的局限性.

    主要方法:

    • 开发了一个物理约束和噪声控制的扩散模型 (PRECISION).
    • 精确学习分布级规范化,以获得理想的材料基础图像.
    • 最佳图像是从学习分布中取样,受PCCT物理和测量数据的约束.

    主要成果:

    • 精度展示了提高材料基础图像质量的潜力.
    • 在PCCT中提高元素组成的定量准确性.
    • 在克服不完善的噪音模型和手工规范化的挑战方面是有效的.

    结论:

    • 在PCCT中,PRECISION为先进的材料基成像提供了一个有前途的方法.
    • 该方法显示了更准确的元素量化潜力,特别是在剂量减小的协议下.