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

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

5.2K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
5.2K
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

247
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
247

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

Deep Learning Network-Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Spatio-Temporal Representation Decoupling and Enhancement for Federated Instrument Segmentation in Surgical Videos.

IEEE transactions on medical imaging·2026
Same author

Knowledge, attitudes, and practices of healthcare workers on preventing postoperative deep vein thrombosis.

Scientific reports·2025
Same author

Addressing Client Drift in Federated Learning via Class-Prototype Similarity Distillation and Adaptive Mask.

IEEE transactions on cybernetics·2025
Same author

From pretraining to privacy: federated ultrasound foundation model with self-supervised learning.

NPJ digital medicine·2025
Same author

Biomimetic Barium Titanate/PLA Scaffold with Shape Memory and Bioelectro-Active Capacities Promotes Bone Regeneration.

International journal of nanomedicine·2025
Same journal

An Ultra-Lightweight Cross-scale Attention Mamba Network for Accurate Skin Lesion Segmentation.

IEEE journal of biomedical and health informatics·2026
Same journal

Explanation-Guided Reconstruction of Missing Clinical Features for Survival Prediction in Pancreatic Cancer.

IEEE journal of biomedical and health informatics·2026
Same journal

stDGCN: A dual-augmentation graph convolutional network for identifying spatial domains with attention mechanism.

IEEE journal of biomedical and health informatics·2026
Same journal

Patient-specific Biomechanical Investigation of Percutaneous Pulmonary Valves: Towards the Integration of Routinely Acquired Clinical Data and Fluid-structure Interaction Simulations.

IEEE journal of biomedical and health informatics·2026
Same journal

Cross-subject fMRI-to-Image with Visual-cortex 2D Representation and Pre-Training.

IEEE journal of biomedical and health informatics·2026
Same journal

PGCASurv: A Prior-Guided Cross-Attention Framework for Dynamic Survival Model with Longitudinal Data.

IEEE journal of biomedical and health informatics·2026
查看所有相关文章

相关实验视频

Updated: Jul 6, 2025

Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia
10:35

Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia

Published on: September 20, 2015

12.3K

对于加速MR成像的多对比补充学习

Bangjun Li, Weifeng Hu, Chun-Mei Feng

    IEEE journal of biomedical and health informatics
    |December 29, 2023
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一种新方法,MCCA,以加快磁共振成像 (MRI) 扫描. MCCA使用来自多个MRI对比的互补信息来提高图像质量和减少扫描时间.

    更多相关视频

    Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
    02:09

    Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

    Published on: April 12, 2024

    612
    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

    9.0K

    相关实验视频

    Last Updated: Jul 6, 2025

    Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia
    10:35

    Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia

    Published on: September 20, 2015

    12.3K
    Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
    02:09

    Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

    Published on: April 12, 2024

    612
    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

    9.0K

    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:

    • 磁共振成像 (MRI) 提供了高分辨率的解剖细节,但受到了长时间的获取时间.
    • 过度的扫描持续时间会降低图像质量,并导致患者的不适,从而限制了MRI的临床效用.
    • 多对比MRI协议通过使用额外的数据提供了潜在的解决方案,但通常采用低于最佳的融合技术.

    研究的目的:

    • 开发一个先进的深度学习网络,用于加速MRI重建.
    • 充分利用跨多个MRI对比度的互补信息,以提高图像质量.
    • 解决现有的多对比MRI重建方法中简单的融合机制的局限性.

    主要方法:

    • 提出了一个新的多对比互补信息聚合网络 (MCCA).
    • 实施了多个尺度的特征融合机制,以整合对比之间的可转移知识.
    • 开发了一种混合卷积变压器块,用于同时提取全球和本地上下文依赖.

    主要成果:

    • 拟议的MCCA方法显著优于现有的MRI重建技术.
    • 在各种数据集,加速因子和低样本模式中表现出卓越的性能.
    • 验证了多尺度融合和混合卷积变压器架构的有效性.

    结论:

    • 通过利用补充的多对比信息,MCCA有效地重建了样本不足的MRI数据.
    • 网络架构成功地集成了各种功能,以实现增强的图像重建.
    • 这些发现表明,在临床环境中,更快,更高质量的MRI获取有希望的方向.