Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Theoretical Prediction of Bias in Model-Based Material Decomposition.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same author

One-Step Material Decomposition Using Spectral Diffusion Posterior Sampling in Sparse-View Dual-Layer CT.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same author

Joint Estimation of Scatter Distribution and Material Maps in Volumetric Dual-Layer Cone-Beam CT.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same author

Evaluation of Fluence Reduction versus Sparsity for Diffusion Posterior Sampling Reconstruction in Low-Dose CT.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same author

Diffusion Posterior Sampling for Tomographic Reconstruction with Mixed Resolution Priors.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same author

Using a Physics-Based Approach to Standardize Radiomics Values: Experimental Validation in an Anthropomorphic Phantom on a Clinical CT Scanner Using a Range of Dose Levels and Reconstruction Kernels.

Proceedings of SPIE--the International Society for Optical Engineering·2026

相关实验视频

Updated: Jun 12, 2025

Integrating a Triplet-triplet Annihilation Up-conversion System to Enhance Dye-sensitized Solar Cell Response to Sub-bandgap Light
11:26

Integrating a Triplet-triplet Annihilation Up-conversion System to Enhance Dye-sensitized Solar Cell Response to Sub-bandgap Light

Published on: September 12, 2014

12.5K

一个三层平板探测器的设计优化,用于三种材料分解.

Xiao Jiang1, Matthew Tivnan2, Xiaoxuan Zhang3

  • 1Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD, 21205, USA.

Proceedings of SPIE--the International Society for Optical Engineering
|September 20, 2024
PubMed
概括

优化光谱放射系统显著降低了基于加多的对比图像中的噪声,提高了小型血管检测. 系统设计的改进是医疗成像中准确的三材料分解的关键.

更多相关视频

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors
09:59

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors

Published on: June 23, 2018

7.8K
Development of Efficient OLEDs from Solution Deposition
07:09

Development of Efficient OLEDs from Solution Deposition

Published on: November 4, 2022

2.1K

相关实验视频

Last Updated: Jun 12, 2025

Integrating a Triplet-triplet Annihilation Up-conversion System to Enhance Dye-sensitized Solar Cell Response to Sub-bandgap Light
11:26

Integrating a Triplet-triplet Annihilation Up-conversion System to Enhance Dye-sensitized Solar Cell Response to Sub-bandgap Light

Published on: September 12, 2014

12.5K
Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors
09:59

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors

Published on: June 23, 2018

7.8K
Development of Efficient OLEDs from Solution Deposition
07:09

Development of Efficient OLEDs from Solution Deposition

Published on: November 4, 2022

2.1K

科学领域:

  • 医学成像物理学 医学成像物理学
  • 放射性探测器技术的技术.
  • 图像处理和图像分析.

背景情况:

  • 光谱放射学和光学使用多层平板探测器 (FPD) 进行各种临床应用.
  • 为了达到最大的对比分辨率,需要去除背景解剖学,需要三种材料分解 (软组织,骨,对比).
  • 之前的工作证明了使用三层探测器进行三种材料分解的可行性.

研究的目的:

  • 通过优化光谱放射学系统设计,从根本上改善三材料分解.
  • 为了尽量减少材料基础图像中含有对比度 (gadolinium) 的噪声.
  • 评估优化系统设计对对比度增强成像的影响.

主要方法:

  • 系统设计优化,包括源电压,闪电器厚度和间隙过.
  • 优化设计与未优化设计的比较.
  • 在一个感兴趣的肺部区域 (ROI) 内的加多基图像中的降噪分析.

主要成果:

  • CsI厚度优化在肺ROI内将加多图像的噪声降低了35.7%.
  • 间歇性过减少了42.7%的噪音,在一个肺ROI内,在gadolinium图像中.
  • 优化的设计提高了小血管的检测能力,并使冠状动脉血管可视化.

结论:

  • 系统设计优化显著改善了光谱放射学中的三种材料分解.
  • 优化的设计可以提高图像质量和诊断能力,特别是对比度增强成像.
  • 这些发现可以指导成像技术的选择和三层探测器的制造.