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

3D and 4D Free-Breathing Abdominal T1-Weighted MRI in Clinical Practice Using Deep Learning Auto-Navigation and Reconstruction.

Magnetic resonance in medicine·2026
Same author

Exploiting colour-channel decorrelation for smartphone-based fluorescence detection.

Scientific reports·2026
Same author

Discovery of an Orally Available Potent ER Aminopeptidase 1 (ERAP1) Inhibitor That Enhances Antitumor Responses and Limits Inflammatory Autoimmunity <i>In Vivo</i>.

Journal of medicinal chemistry·2026
Same author

Body Roundness Index as a Predictor of Electrical Cardioversion Failure in Patients With Persistent Atrial Fibrillation.

Pacing and clinical electrophysiology : PACE·2026
Same author

CBCT-based synthetic MRI generation for target localization during deep inspiration breath hold (DIBH) abdominal radiotherapy.

Physics in medicine and biology·2026
Same author

CT-to-FLAIR Style Transfer Improves Perilesional Edema Conspicuity in Brain Metastases.

AJNR. American journal of neuroradiology·2026

相关实验视频

Updated: Mar 8, 2026

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
10:14

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

7.7K

使用深度模块化重建网络对脑瘤进行高度加速的3DMRI.

Anthony Mekhanik1, Joseph N Stember2, Onur Yildirim2

  • 1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.

NMR in biomedicine
|March 6, 2026
PubMed
概括

加快的深度模块化图像重建 (ADMIRE) 使用深度学习来加快癌症成像的3DMRI扫描. 这种人工智能方法实现了更快的扫描,图像质量与标准方法相比较.

关键词:
加速加速加速的加速.大脑瘤 大脑瘤深度学习重建重建后对比3D T1加权MRI后对比 3D T1加权MRI

更多相关视频

Multicolor 3D Printing of Complex Intracranial Tumors in Neurosurgery
14:15

Multicolor 3D Printing of Complex Intracranial Tumors in Neurosurgery

Published on: January 11, 2020

7.7K
Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery
09:53

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

4.3K

相关实验视频

Last Updated: Mar 8, 2026

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
10:14

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

7.7K
Multicolor 3D Printing of Complex Intracranial Tumors in Neurosurgery
14:15

Multicolor 3D Printing of Complex Intracranial Tumors in Neurosurgery

Published on: January 11, 2020

7.7K
Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery
09:53

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

4.3K

科学领域:

  • 放射学 放射学是一门学科.
  • 医疗成像医学成像
  • 人工智能的人工智能

背景情况:

  • 3D T1加权MRI对癌症神经成像至关重要,但耗时.
  • 目前的加速技术限制了扫描速度,影响了临床工作流程.

研究的目的:

  • 为了加速3DMRI采集,使用深度学习重建低样本的k空间数据.
  • 开发和验证一个新的深度学习框架 (ADMIRE) 以实现更快的MRI扫描.

主要方法:

  • 开发了一种两阶段的深度学习框架 (ADMIRE),用于删除文物和增强图像.
  • 在136个3D T1权重的MRI数据集 (BRAVO和MPRAGE) 上训练了ADMIRE.
  • 经过验证的ADMIRE与现有方法和临床收购相比,使用定量和定性评估.

主要成果:

  • 与数据驱动和非滚动深度学习方法相比,ADMIRE表现出优越的图像质量.
  • 该方法实现了与临床标准相比的非劣质性,尽管获得时间减少了32%-46%.
  • 统计分析证实了ADMIRE在整体质量和诊断信心方面的有效性.

结论:

  • 在保持诊断质量的同时,ADMIRE显著加快了T1加权的3DMRI采集.
  • 该框架能够实现更高的k空间低样本因子,提高临床效率.
  • 快速计算和使用临床序列有助于将ADMIRE转化为临床实践.