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

Inferring and evaluating network medicine-based disease modules with nextflow.

Bioinformatics (Oxford, England)·2026
Same author

Generating Alzheimer's narratives using large language models.

BMC medical informatics and decision making·2026
Same author

Pushing the boundaries of robotic computed tomography: automated twin-robot CT scan with maximum reachability.

Scientific reports·2026
Same author

Synthesizing vocal tract magnetic resonance imaging sequences with phoneme-aware diffusion models.

Journal of medical imaging (Bellingham, Wash.)·2026
Same author

Illuminating the black box of reservoir computing.

Scientific reports·2026
Same author

Drugst.One DREAM-Drug repurposing through expert annotation and modification.

British journal of pharmacology·2026
Same journal

Serum vitamin D level and its association with vertigo frequency and severity in Meniere disease.

Scientific reports·2026
Same journal

PFA-Net: a physics-informed feature enhancement and attention network for interpretable bearing fault diagnosis under strong noise.

Scientific reports·2026
Same journal

Circulating inflammatory, redox, and apoptosis-related alterations in drug-naive idiopathic pulmonary fibrosis: an exploratory case-control study.

Scientific reports·2026
Same journal

A baseline-oriented dynamic aggregation approach for demand-side heterogeneous controllable resources.

Scientific reports·2026
Same journal

Temporal precision and accuracy in schizophrenia: an exploratory study.

Scientific reports·2026
Same journal

Prefrontal EEG spectral and nonlinear signatures of subthreshold depression during resting state and affectively valenced picture/video viewing: a participant-level analysis.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: Jun 10, 2025

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

28.4K

通过自我监督的消毒和评估来增强扩散权重前列腺MRI.

Laura Pfaff1,2, Omar Darwish3, Fabian Wagner4,3

  • 1Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058, Erlangen, Germany. laura.pfaff@fau.de.

Scientific reports
|October 16, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种自我监督的方法,以消除扩散加权成像 (DWI) 核磁共振扫描,而不需要训练完美的图像. 这种新方法提高了图像质量,可以加快MRI扫描的速度.

更多相关视频

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

22.4K
A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
06:08

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound

Published on: March 21, 2025

141

相关实验视频

Last Updated: Jun 10, 2025

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

28.4K
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

22.4K
A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
06:08

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound

Published on: March 21, 2025

141

科学领域:

  • 医疗成像医学成像
  • 生物物理学的生物物理.
  • 机器学习 机器学习

背景情况:

  • 扩散加权成像 (DWI) 对中风和瘤学至关重要,但其信号噪声比 (SNR) 较低.
  • 监督深度学习的无噪声化需要无噪声的训练数据,而这对于DWI来说是不可用的.
  • 现有的自我监督方法和传统的消毒技术在DWI应用中存在局限性.

研究的目的:

  • 开发一种自主监督的DWI拒绝方法,消除了对基本真相数据的需求.
  • 用一种新的自我监督方法来评估除性能.
  • 通过减少重复来证明加速DWI获取的潜力.

主要方法:

  • 一种自主监督的深度学习方法,使用适应的斯坦的无偏风险估计器 (SURE).
  • 重复DWI获取的相位纠正组合,以增强信号并实现自我监督.
  • 基于残余信号分析的自我监督评估指标.

主要成果:

  • 提出的方法显著优于最先进的自我监督的除技术和传统的非学习方法.
  • 该方法成功地拒绝了DWI扫描,而不需要无噪声的训练数据.
  • 通过获得更少的重复来加速DWI扫描的可行性.

结论:

  • 自主监督学习为拒绝DWI提供了一个可行的解决方案,克服了监督方法的局限性.
  • 基于SURE的方法提供了强大的拒绝和可靠的DWI评估框架.
  • 这种技术有可能提高临床MRI的诊断准确性和效率.