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

A Physiologic Left Ventricle Flow Phantom for 4D Flow MRI Applications and CFD Verification.

Annals of biomedical engineering·2026
Same author

Scaling and self-similarity in the formation of the embryonic epigenome.

Nature physics·2026
Same author

High resolution, 3D isotropic late gadolinium enhanced imaging for the quantification of left atrial fibrosis and post-ablation scarring.

European heart journal. Imaging methods and practice·2026
Same author

Associations of MRI-derived Paraspinal IMAT and LMM with Cardiometabolic Risk Factors: Results from a German Cohort.

Radiology·2026
Same author

How to Image Myocarditis.

Circulation. Cardiovascular imaging·2026
Same author

Cross-Site Generalization of CNN-Based <math><semantics><mrow><msubsup><mi>B</mi> <mn>1</mn> <mo>+</mo></msubsup></mrow> <annotation>$$ {B}_1^{+} $$</annotation></semantics></math> Mapping in UHF MRI.

NMR in biomedicine·2026

相关实验视频

Updated: Jun 9, 2025

Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging
11:57

Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging

Published on: February 24, 2021

9.9K

在7T时基于深度学习的全脑B1+映射.

Felix Krueger1,2, Christoph Stefan Aigner1, Max Lutz1

  • 1Physikalisch-Technische Bundesanstalt, Berlin, Germany.

Magnetic resonance in medicine
|October 27, 2024
PubMed
概括

复杂值神经网络 (NN) 可以准确地估计7T的多切片定位器扫描的B1+定量场图. 这加快了对平行传输 (pTx) MRI 的特定对象校准,提高了成像效率.

关键词:
7 特斯拉的测试结果在B1+-映射中.大脑大脑大脑的大脑大脑深度学习是一种深度学习.平行传输的平行传输方式

更多相关视频

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
13:12

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Published on: August 12, 2019

45.2K
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

8.9K

相关实验视频

Last Updated: Jun 9, 2025

Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging
11:57

Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging

Published on: February 24, 2021

9.9K
Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
13:12

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Published on: August 12, 2019

45.2K
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

8.9K

科学领域:

  • 磁共振成像 (MRI) 是一种磁共振成像技术.
  • 医疗成像中的人工智能
  • 无线电频率 (RF) 场校准

背景情况:

  • 传输磁射频场 (B1+) 的准确估计对于定量MRI至关重要,特别是在像7T这样的高场强度下.
  • 对于并行传输 (pTx) 技术来实现均的射频激发,对特定主体的B1+校准至关重要.
  • 传统的B1+映射方法可能耗时,限制其临床适用性.

研究的目的:

  • 调查使用复杂值神经网络 (NN) 快速B1+地图估计的可行性.
  • 为了使B1+估计从多切片定位器扫描不同切片方向在7T的人类头部.
  • 为了加快对 pTx MRI 应用的特定对象B1+校准.

主要方法:

  • 在7T的15名健康受试者中获取通道智能的B1+地图和多切片定位器 (轴向,斜向,冠状).
  • 使用五倍交叉验证训练四个复杂值的NN配置,包括一个对所有切片方向进行训练.
  • 预测的B1+地图与使用定量指标的参考扫描以及使用动态kt点脉冲的体内测试进行验证.

主要成果:

  • 预测的B1+地图与不同方向的测量地图具有很高的相似性.
  • 大小中的平均相对误差很低:2.70±2.86% (横向),1.82±0.69% (斜面),和1.33±0.27% (冠状).
  • 一个在所有方向上受过训练的网络展示了强大的B1+预测,使得在体内均刺激成为可能.

结论:

  • 复杂值的NN是可行的估计多切片B1+地图从定位器扫描在7T.
  • 拟议的方法加快了B1+校准,提高了pTxMRI的效率.
  • 这种方法有望改善先进的MRI技术中对特定主体的射频场校准.