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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

292
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
292
Residuals and Least-Squares Property01:11

Residuals and Least-Squares Property

9.1K
The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
9.1K
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

698
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
698

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

Imaging the impact of sex and age on OATP function in humans: Consequences for whole-body pharmacokinetics and liver exposure.

Acta pharmaceutica Sinica. B·2025
Same author

Fast 4D-PET parametric imaging computation at the whole field of view level: Reliability under simulated conditions of PET KinetiX, a dedicated software solution.

European journal of nuclear medicine and molecular imaging·2025
Same author

A pharmacological imaging challenge based on <sup>11</sup>C-buprenorphine PET-MRI to explore the response to opioids in humans.

European journal of nuclear medicine and molecular imaging·2023
Same author

Relevance of <sup>18</sup>F-DOPA visual and semi-quantitative PET metrics for the diagnostic of Parkinson disease in clinical practice: a machine learning-based inference study.

EJNMMI research·2023
Same author

Head-to-Head Comparison Between Rabbit Sign and EANM/SNMMI Criteria for the 18F-DOPA Visual Assessment of Parkinsonian Syndromes in PET/MRI: A Multiple Expert-Based and Blinded Controlled Study.

Clinical nuclear medicine·2023
Same author

[<sup>11</sup>C]glyburide PET imaging for quantitative determination of the importance of Organic Anion-Transporting Polypeptide transporter function in the human liver and whole-body.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie·2022
Same journal

Effective contrast-enhanced preprocessing for intracranial artery segmentation in digital subtraction angiography.

Physics in medicine and biology·2026
Same journal

Improving Plan Quality in Adaptive Proton Therapy Using an Interactive Dose Modification Tool.

Physics in medicine and biology·2026
Same journal

Technical Note: Real-Time MLC Control and Latency Measurement Optimization with External Verification.

Physics in medicine and biology·2026
Same journal

Fetus-Specific Hematopoietic Stem Cell Dosimetry Framework for Leukemia-Relevant Target Cells During Prenatal Development.

Physics in medicine and biology·2026
Same journal

Deep learning-based dose prediction to enhance planning efficiency in cervical brachytherapy with hybrid applicators.

Physics in medicine and biology·2026
Same journal

Corrigendum: Referenceless MR thermometry-a comparison of five methods (2017<i>Phys. Med. Biol</i>.<b>62</b>1-16).

Physics in medicine and biology·2026
查看所有相关文章

相关实验视频

Updated: Jan 18, 2026

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.7K

固定点方法用于PET重建与学习的插即用规范化的固定点方法.

Marion Savanier1, Claude Comtat1, Florent Sureau1

  • 1BioMaps, Université Paris-Saclay, CEA, CNRS, Inserm, SHFJ, 91401 Orsay, France.

Physics in medicine and biology
|September 10, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个稳定的深度学习框架,用于正子发射断层扫描 (PET) 图像重建. 插即用 (PnP) 方法提高了图像质量和准确性,特别是在有限的数据的情况下.

关键词:
图像重建 图像重建机器学习是机器学习.核成像技术的核成像技术优化的优化优化优化.插入和播放的插件

更多相关视频

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
12:09

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

14.1K
Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

687

相关实验视频

Last Updated: Jan 18, 2026

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.7K
Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
12:09

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

14.1K
Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

687

科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 核医学就是核医学.

背景情况:

  • 深度学习显示出医学图像重建的前景,特别是在正子发射断层扫描 (PET) 中.
  • 人们对深度学习方法的稳定性和稳定性存在担忧,尤其是在有限的培训数据的情况下.
  • 插即用 (PnP) 框架为增强PET重建稳定性提供了一个潜在的解决方案.

研究的目的:

  • 探索Plug-and-Play (PnP) 框架的应用,以实现稳定和强大的低计数正子发射断层扫描 (PET) 重建.
  • 在PNP框架内评估不同denoisers的性能,重点关注融合特性和泛化能力.
  • 将拟议的PNP算法与现有的PET重建技术进行比较.

主要方法:

  • 使用道格拉斯-拉赫福德分裂方法开发用于低计数PET重建的融合PNP算法.
  • 整合和评价满足固定点条件的消光器,包括光谱规范网络和深平衡模型.
  • 评估临床相关地区偏差标准偏差的权衡以及使用合成和真实PET数据的未见病理病例.

主要成果:

  • 与基于模型的代重建相比,拟议的PNP方法实现了比后重建无效化更低的偏差,并且在匹配偏差下降了标准偏差.
  • 与卷积网络相比,深度平衡模型denoiser表现出具有竞争力的性能和对未见病理的更好的概括性.
  • 使用深度平衡模型的PNP方法显示出比端到端展开的网络更一致的概括.

结论:

  • 插即用 (PnP) 框架具有显著的潜力,可以提高PET重建中的图像质量和量化准确性.
  • 对无噪网络施加特定的趋同条件对于确保PET成像中的强大和可通用的性能至关重要.
  • 深度平衡模型为基于PNP的PET重建提供了一个有前途的方向,平衡性能和概括性.