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

Computed Tomography01:10

Computed Tomography

8.0K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
8.0K

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 authorSame journal

Extending longitudinal field-of-view for cone-beam CT based on a novel surface-aware diffusion model.

Physics in medicine and biology·2026
Same author

Topology-aware segmentation for tubular structure in 3D microscopy.

Physics in medicine and biology·2026
Same author

Collaborative Reconstruction of PROPELLER-EPI Data Using POCSMUSE (CORPUSE) for High-Fidelity Diffusion MRI.

Magnetic resonance in medicine·2026
Same author

Longitudinal DCE MRI Vascular Textures: Radiologic and Biologic Insights for pCR Prediction in HER2-Negative Breast Cancer.

Radiology. Artificial intelligence·2026
Same author

Functional-based multi-omics early prediction of radiation pneumonitis in NSCLC using AI-generated perfusion and ventilation from planning CT.

Physics in medicine and biology·2026
Same author

Motion-robust magnetic resonance fingerprinting (MR-MRF) for quantitative liver cancer imaging.

Physics in medicine and biology·2026

相关实验视频

Updated: Jan 11, 2026

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

23.0K

增强的4D扩散权重的PROPELLER回声平面成像与协作叶片重建.

Lu Wang1,2,3, Tian Li3, Chenyang Liu3

  • 1College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, People's Republic of China.

Physics in medicine and biology
|November 14, 2025
PubMed
概括
此摘要是机器生成的。

一种新的四维扩散加权成像 (4D-DWI) 技术,4D-DW-PROP-EPI-JBCR显著提高了图像指导放射治疗 (IGRT) 的图像质量和几何准确性. 这种改进的4D-DWI减少了获取时间和扭曲,使其在临床上更有用.

关键词:
这是一个PROPELLER-EPI.四维扩散加权成像四维扩散加权成像图像指导放射疗法 图像指导放射疗法关节叶片协作重建协作重建

更多相关视频

Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
17:16

Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring

Published on: December 9, 2010

10.7K
Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
08:51

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

9.7K

相关实验视频

Last Updated: Jan 11, 2026

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

23.0K
Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
17:16

Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring

Published on: December 9, 2010

10.7K
Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
08:51

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

9.7K

科学领域:

  • 医疗成像医学成像
  • 辐射疗法 辐射疗法
  • 磁共振成像是一种磁共振成像技术.

背景情况:

  • 与传统的4D磁共振成像相比,四维扩散加权成像 (4D-DWI) 为图像引导放射治疗 (IGRT) 提供了优越的软组织对比度.
  • 4D-DWI的临床应用受到几何扭曲和延长的获取时间的限制.

研究的目的:

  • 引入一个改进的呼吸相关的4D-DWI技术,4D-DW-PROP-EPI-JBCR,解决几何扭曲和获取时间的局限性.
  • 用模拟和体内实验来评估拟议技术的性能与以前的4D-DW-PROPELLER-EPI相比.

主要方法:

  • 4D-DW-PROP-EPI-JBCR技术涉及数据采集,线圈灵敏度/相位误差估计,回顾分类和联合叶片协作重建 (JBCR).
  • 使用包括k空间统一性,点传播函数 (PSF) 质量,采样因子 (SF),图像质量 (PSNR,SSIM,HFEN,SNR) 和几何准确性 (DSC,HD) 在内的指标来评估性能.
  • 为了进行比较,使用了配对的t测试,统计显著性设置为P < 0.05.05.

主要成果:

  • 与4D-DW-PROPELLER-EPI相比,4D-DW-PROP-EPI-JBCR消除了严格的k空间统一性要求,并实现了与4D-DW-PROPELLER-EPI相比更少的收购,提高了PSF.
  • 对于4D-DW-PROP-EPI-JBCR在所有指标上都观察到显著的图像质量改善:SSIM (0.83-0.92 vs 0.81-0.90),PSNR (20.56-25.20 vs 20.24-24.48),HFEN (0.49-0.678 vs 0.52-0.80) 和SNR (31.1-32.6 dB vs 28.6-29.5 dB).
  • 优异的几何准确度 (DSC: 0.90 ± 0.03,高清: 2.37 ± 1.12) 和减少的SF (1.9对 2.4) 得到了实现.

结论:

  • 4D-DW-PROP-EPI-JBCR技术可以实现无扭曲的,与呼吸相关的4D-DWI.
  • 与4D-DW-PROPELLER-EPI.I.相比,它可以将采样因子降低20%以上.
  • 这种技术显著提高了4D-DWI在腹部IGRT的临床效用.