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

Deconvolution01:20

Deconvolution

146
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
146
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

76
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
76
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

88
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
88
Vector Algebra: Method of Components01:08

Vector Algebra: Method of Components

13.8K
It is cumbersome to find the magnitudes of vectors using the parallelogram rule or using the graphical method to perform mathematical operations like addition, subtraction, and multiplication. There are two ways to circumvent this algebraic complexity. One way is to draw the vectors to scale, as in navigation, and read approximate vector lengths and angles (directions) from the graphs. The other way is to use the method of components.
In many applications, the magnitudes and directions of...
13.8K
Differential Leveling01:12

Differential Leveling

158
Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
158
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

6.0K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
6.0K

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

Fast high quality computational ghost imaging based on saliency variable sampling detection.

Scientific reports·2024
Same author

Low sampling high quality image reconstruction and segmentation based on array network ghost imaging.

Optics express·2023
Same author

Peratrial device closure of perimembranous ventricular septal defects through a right parasternal approach.

The Annals of thoracic surgery·2014
Same author

[Correlation between the 4th lumbar degenerative spondylolisthesis and radiographic parameters].

Zhonghua wai ke za zhi [Chinese journal of surgery]·2014
Same author

Liquid chromatography-tandem mass spectrometric assay for the determination of vaccarin in rat plasma: application to a pharmacokinetic study.

Biomedical chromatography : BMC·2014
Same author

Residential indoor and personal PM10 exposures of ambient origin based on chemical components.

Journal of exposure science & environmental epidemiology·2014
Same journal

A tri-axis optomechanical accelerometer with plasmonic MIM waveguide and structural direction-dependent optical signatures.

Scientific reports·2026
Same journal

Holographic leaky-wave antennas with independently controlled multiple counter-rotating vortex beams.

Scientific reports·2026
Same journal

Differential associations of longitudinal hearing and vision trajectories with dementia and mild cognitive impairment in older adults.

Scientific reports·2026
Same journal

Abdominal obesity and leisure-time sedentary behavior in relation to gastroesophageal reflux disease risk: a prospective cohort study from the UK Biobank.

Scientific reports·2026
Same journal

Effect of nitrogen-rich COF incorporation on the structure and separation performance of polyamide nanofiltration membranes.

Scientific reports·2026
Same journal

Withanolide A inhibits hIAPP aggregation: An In silico, biophysical, and drosophila-based In vivo validation.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: Jun 18, 2025

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
14:58

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

9.6K

基于二维变量模式分解和字典学习的LDCT图像消噪算法.

Yu Han1, Xuan Liu1, Nan Zhang1

  • 1School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun, 130022, China.

Scientific reports
|July 30, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的低剂量CT (LDCT) 图像消除算法. 它有效地消除噪音和文物,同时保留关键的图像细节,以便更好地检测病变.

更多相关视频

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

512
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.4K

相关实验视频

Last Updated: Jun 18, 2025

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
14:58

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

9.6K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

512
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.4K

科学领域:

  • 医疗成像医学成像
  • 图像处理 图像处理
  • 计算科学 计算科学

背景情况:

  • 低剂量计算机断层扫描 (LDCT) 减少了辐射暴露,但引入了噪音和文物,降低了图像质量.
  • 现有的无色化方法可能会损害LDCT图像中的结构和详细信息.
  • 提高图像质量对于准确的医学诊断和病变检测至关重要.

研究的目的:

  • 开发一种先进的低剂量CT (LDCT) 图像消除算法.
  • 通过有效地去除噪音和文物,同时保持图像细节来提高图像质量.
  • 提高医学成像中病变检测和分析的准确性.

主要方法:

  • 结合2D变化模式分解 (2D-VMD) 与字典学习 (改进的K-SVD).
  • 将LDCT图像分解为适应式字典学习和独立的无声化模式组件.
  • 整合了规范化的直角匹配追求 (ROMP) 和字典原子优化,以增强稀疏表示.

主要成果:

  • 拟议的方法在峰值信号与噪声比率 (PSNR) 和结构相似性 (SSIM) 中显著优于现有的消除噪声技术.
  • 从LDCT图像中成功删除了噪音和文物.
  • 保存了重要的图像细节和结构信息,对于诊断准确性至关重要.

结论:

  • 开发的LDCT无声化算法有效地提高了图像质量.
  • 该方法保留了重要的图像细节和结构信息,促进了更准确的病变检测和分析.
  • 这种方法为改善低剂量CT成像诊断能力提供了有希望的解决方案.