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相关概念视频

Computed Tomography01:10

Computed Tomography

4.6K
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...
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Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

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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...
267
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

12
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,...
12
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...
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Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

13
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
13
Curvilinear Motion: Rectangular Components01:23

Curvilinear Motion: Rectangular Components

480
Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the...
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相关实验视频

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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
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低级加稀疏关节光滑模型基于张量奇数值分解,用于动态MRI重建.

Xiaotong Liu1, Jingfei He1, Chenghu Mi1

  • 1Tianjin Key Laboratory of Electronic Materials and Devices, School of Electronics and Information Engineering, Hebei University of Technology, 340 Xiping Road, Beichen District, Tianjin 300401, PR China.

Magnetic resonance imaging
|September 23, 2023
PubMed
概括

这项研究引入了一种新的低级加稀疏模型,使用张量奇数值分解 (T-SVD) 来加速动态磁共振成像 (DMRI). 该方法有效地从样本不足的数据中重建高质量的DMRI,提高成像速度和细节.

关键词:
动态磁共振成像技术 动态磁共振成像技术低级别加稀少性模型的低级别加稀少性模型.顺的 顺的 顺的 顺的张量奇数值分解方式张量总变化约束的张量总变化约束.

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相关实验视频

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科学领域:

  • 医疗成像医学成像
  • 生物医学工程 生物医学工程
  • 图像重建 图像的重建

背景情况:

  • 动态磁共振成像 (DMRI) 对于医学诊断至关重要,但受到长时间采集时间的限制.
  • 加快DMRI获取对于更广泛的临床应用和改善患者舒适性至关重要.

研究的目的:

  • 开发一个先进的重建方法,用于高度低样本的DMRI数据.
  • 为了提高动态MRI图像的质量和细节,同时减少扫描时间.

主要方法:

  • 提出了一个低级加稀疏张量 (L+S) 模型,利用张量奇数值分解 (T-SVD).
  • 该模型利用DMRI数据中固有的时空相关性.
  • 结合张量总变化 (TTV) 约束被纳入,以保持全球结构和增强重建细节.

主要成果:

  • 提出的方法成功地从极低采样k-t空间数据中重建了动态MRI图像.
  • 动态心脏数据集的实验结果显示,与现有的最先进的方法相比,其性能优越.
  • 这种方法有效地提高了重建质量,并保留了图像细节.

结论:

  • 拟议的低级加稀疏关节光滑模型有效地加速了DMRI的获取.
  • 这种方法为更快,更详细的动态MRI成像提供了一个有前途的解决方案.
  • 该技术在各种DMRI应用中显示出临床翻译的巨大潜力.