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

Ultrasound II: Endoscopic Ultrasound and FibroScan01:25

Ultrasound II: Endoscopic Ultrasound and FibroScan

106
Endoscopic Ultrasound (EUS) and FibroScan are valuable diagnostic tools in gastroenterology and hepatology, each with specific applications and techniques.
Endoscopic Ultrasound (EUS):
106
Ultrasonography01:17

Ultrasonography

4.5K
Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...
4.5K

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

Discovery and biological evaluation of HS13 as a novel covalent ligand targeting the NSD2-PWWP1 domain.

Bioorganic & medicinal chemistry·2026
Same author

Commentary: C6-7 Corpectomy for Clipping of Ruptured Anterior Radiculomedullary Artery Aneurysm.

Operative neurosurgery (Hagerstown, Md.)·2026
Same author

A Multi-Task Segmentation and Classification Network Based on Ultrasound Images for Predicting the Grading of Ascites in the Abdominal Cavity.

Ultrasonic imaging·2026
Same author

PIT-Net: Physics-informed transformer with differentiable diffusion constraints for quantitative photoacoustic tomography of deep tissues.

Photoacoustics·2026
Same author

Noninvasive whole-brain imaging of glymphatic dynamics.

Science advances·2026
Same author

Dual-parameter photoacoustic spectral analysis and machine learning for noninvasive monitoring of osteosarcoma treatment response.

Ultrasonics·2026

相关实验视频

Updated: Jul 2, 2025

Providing Visual Biofeedback Using Brightness Mode Ultrasound During a Golf Swing
06:42

Providing Visual Biofeedback Using Brightness Mode Ultrasound During a Golf Swing

Published on: August 25, 2022

2.0K

B模式超声波到使用多尺度学习的弹性学合成.

Fei Dai1, Yifang Li2, Yunkai Zhu3

  • 1Center for Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai 200433, China.

Ultrasonics
|February 25, 2024
PubMed
概括

一种新的深度学习方法,即多尺度弹性图像合成网络 (MEIS-Net),从B模式数据中合成弹性超声波图像. 这种方法提高了在初级保健机构诊断诸如瘤等疾病的可访问性.

关键词:
在B模式超声波中.深度学习是一种深度学习.弹性图形学 弹性图形学 弹性图形学模式综合 模式综合前列腺癌是什么意思 前列腺癌是什么意思

更多相关视频

Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth
12:18

Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth

Published on: February 9, 2012

12.5K
Ultrasonic Assessment of Myocardial Microstructure
10:53

Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

5.5K

相关实验视频

Last Updated: Jul 2, 2025

Providing Visual Biofeedback Using Brightness Mode Ultrasound During a Golf Swing
06:42

Providing Visual Biofeedback Using Brightness Mode Ultrasound During a Golf Swing

Published on: August 25, 2022

2.0K
Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth
12:18

Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth

Published on: February 9, 2012

12.5K
Ultrasonic Assessment of Myocardial Microstructure
10:53

Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

5.5K

科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 生物医学工程 生物医学工程

背景情况:

  • 弹性图测量组织硬度,用于诊断瘤等病变.
  • 高昂的成本和有限的可用性限制了在农村初级保健中的使用.
  • 需要在服务不足的地区提供可访问的弹性学方法.

研究的目的:

  • 开发一种深度学习方法,从B模式超声数据中合成弹性超声图像.
  • 在成本和可访问性方面克服传统弹性塑料的局限性.
  • 为了使弹性图在初级医疗设施中得到更广泛的临床应用.

主要方法:

  • 提出了一个利用多层次学习的多层次弹性图像合成网络 (MEIS-Net).
  • 整合了多尺度的前列腺特征,并使用了融合模块来增强弹性合成.
  • 从B模式和弹性图形特征图表中合成了本地和全球弹性图像,然后将它们结合起来.

主要成果:

  • MEIS-Net有效地从两个设备的B模式超声数据中合成了弹性图像.
  • 实现了0.74 ± 0.04的结构相似度指数,表现优于Pix2Pix,CycleGAN和StarGANv2.4.
  • 合成弹性图像显示了与真实图像相似的分类性能,只有3%的AUC下降.

结论:

  • MEIS-Net为合成弹性图像提供了传统弹性图像的可行替代方案.
  • 该方法显示了在资源有限的环境中改善诊断能力的潜力.
  • 该方法显示临床有效性和广泛适用于病变检测.