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

9.9K
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...
9.9K
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

296
Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
296
Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

420
Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
420

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

Tongue volume in spinal and bulbar muscular atrophy (SBMA): an AI-assisted automatic MRI analysis.

Journal of neurology·2026
Same author

Correction: Design and chemical composition of a reference phantom for <sup>13</sup>C metabolic MRSI.

Magma (New York, N.Y.)·2026
Same author

Detection of inflammation-related blood-brain barrier dysfunction using PET and MR imaging: a pilot study.

Scientific reports·2026
Same author

NF-κB activation in astrocytes impairs wound healing after traumatic brain injury in male mice.

Nature communications·2026
Same author

Design and chemical composition of a reference phantom for <sup>13</sup>C metabolic MRSI.

Magma (New York, N.Y.)·2026
Same author

[Relevance of Adapted Dynamic MRI Protocols in the Diagnosis of Articular Disc Displacements].

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin·2026
Same journal

Limitations of Mono-Exponential Individual Fitting as a Reference Model for Single-Time-Point Dosimetry in [<sup>177</sup>Lu]Lu-PSMA-617 Therapy.

Zeitschrift fur medizinische Physik·2026
Same journal

Determination of long-range resistance from high resolution impedance spectroscopy in human cadaveric heads.

Zeitschrift fur medizinische Physik·2026
Same journal

Patient-specific quality assurance in stereotactic radiotherapy: clinical practice in absence of guidelines - status and new approach from the DGMP working group for physics and technology in stereotactic radiotherapy.

Zeitschrift fur medizinische Physik·2026
Same journal

Potential and challenges of Positron Emission Tomography beyond conventional preclinical and clinical imaging.

Zeitschrift fur medizinische Physik·2026
Same journal

Evaluation of PET/CT Artificial Intelligence Image Reconstructions VS Harmonized Clinical Reconstruction.

Zeitschrift fur medizinische Physik·2026
Same journal

Adaptation of quality control pipeline for Skeletal Muscle 31P MR Spectroscopy at 3T and 7T.

Zeitschrift fur medizinische Physik·2026
查看所有相关文章

相关实验视频

Updated: Feb 17, 2026

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

9.9K

磁共振成像模拟和重建框架用于任意定向的编码和发送/接收磁向量场.

Fabian Bschorr1, Thomas Hüfken1, Tobias Lobmeyer1

  • 1Ulm University Medical Center, Albert-Einstein-Allee 23, Ulm, 89081, Baden-Württemberg, Germany.

Zeitschrift fur medizinische Physik
|February 15, 2026
PubMed
概括
此摘要是机器生成的。

一个新的MATLAB模拟框架处理MRI中的复杂磁场,改善便携式系统的图像质量. 这种工具有助于设计新的扫描仪和开发文物校正方法.

关键词:
布洛克模拟的模拟偏移的磁场偏移了磁场.低场核磁共振 (MRI) 是一种低场核磁共振.这是一个MRI模拟模拟.这是一个开源的开源软件.

更多相关视频

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

1.2K
High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
10:06

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

13.5K

相关实验视频

Last Updated: Feb 17, 2026

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

9.9K
Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

1.2K
High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
10:06

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

13.5K

科学领域:

  • 磁共振成像 (MRI) 是一种磁共振成像技术.
  • 医学成像技术 医学成像技术
  • 计算物理 计算物理

背景情况:

  • 传统的MRI假设均的磁场,这是由便携式,低成本的系统挑战.
  • 新的MRI硬件中非理想的磁场可能会导致工件,影响图像质量.
  • 模拟工具对于设计新的MRI系统和优化成像序列至关重要.

研究的目的:

  • 为具有非理想磁场的MRI系统开发一种基于MATLAB的多功能模拟框架.
  • 为了更快的计算,将基于矩阵的Bloch模拟概括和验证.
  • 在非理想的磁场环境中评估图像质量和工件补偿策略.

主要方法:

  • 开发了一个MATLAB框架来模拟全磁场向量 (B0,SEM,发射/接收场).
  • 为了提高效率,基于矩阵的概括和验证的布洛赫模拟.
  • 在2D梯度回声实验中预测的图像质量与偏移的磁场.

主要成果:

  • 与传统方法相比,基于矩阵的通用模拟显示了相当大的时间缩短.
  • 模拟和重建的图像在数字布洛赫和基于矩阵的方法之间得到了密切一致.
  • 通过将磁场知识整合到重建过程中,证明了文物补偿.

结论:

  • 经过验证的软件能够进行全面的模拟和重建,考虑任意的磁场配置.
  • 这种工具对于设计新的低场MRI系统和开发先进的重建算法非常有价值.
  • 该框架有助于对文物进行解释,并优化对非理想MRI硬件的成像序列.