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相关概念视频

Diffusion01:12

Diffusion

218.0K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
218.0K
Diffusion01:21

Diffusion

6.4K
Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
6.4K
Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

1.8K
Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
This process starts with a thin layer, saturated with the drug, forming at the interface between the solid and liquid. The solute then diffuses from this layer into the main solution. The Noyes-Whitney equation suggests that the rate of dissolution relies on the diffusion...
1.8K
Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

13.4K
Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
13.4K
Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

349
Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
349
Facilitated Diffusion01:16

Facilitated Diffusion

1.3K
The plasma membrane, a critical structure in cellular biology, houses an array of transporters, or carrier proteins, interspersed within its lipid bilayer. These proteins play a crucial role in solute transport through facilitated diffusion, a form of passive diffusion that uses transporters to move the molecules across the membrane.
In this process, substrates such as organic compounds and ions interact with a transporter on one side, triggering conformational changes in proteins that enable...
1.3K

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相关实验视频

Updated: Jan 30, 2026

In vivo Imaging of Optic Nerve Fiber Integrity by Contrast-Enhanced MRI in Mice
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In vivo Imaging of Optic Nerve Fiber Integrity by Contrast-Enhanced MRI in Mice

Published on: July 22, 2014

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一个有效的3D潜伏扩散模型用于T1-对比增强型MRI生成.

Zach Eidex1, Mojtaba Safari2, Jie Ding3

  • 1Emory University School of Medicine, 1365-C Clifton Road NE, Atlanta, 30322, UNITED STATES.

Biomedical physics & engineering express
|January 28, 2026
PubMed
概括
此摘要是机器生成的。

这项研究介绍了T1C-RFlow,这是一种3D深度学习模型,可以从前对比扫描中生成对比增强的MRI图像 (T1C),为脑瘤成像提供更快,无对比剂的替代方案.

关键词:
这就是为什么MRI是MRI.在T1-对比.深度学习是一种深度学习.质瘤 质瘤 是一种这种合成的方法是:intramodal synthesis.纠正流量的纠正流量

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Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
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Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

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In vivo Imaging of Optic Nerve Fiber Integrity by Contrast-Enhanced MRI in Mice
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In vivo Imaging of Optic Nerve Fiber Integrity by Contrast-Enhanced MRI in Mice

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Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery
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科学领域:

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

背景情况:

  • 基于加多的对比剂 (GBCA) 增强MRI病变的可视化,但存在诸如原性全身纤维化等风险.
  • GBCA的管理变化可能导致不一致的成像结果.
  • 需要先进的方法来产生没有GBCAs的对比增强MRI.

研究的目的:

  • 开发一个高效的3D深度学习框架,T1C-RFlow,用于生成T1-对比增强 (T1C) MRI图像从前对比多参数MRI.
  • 为了克服与GBCA在MRI中的使用相关的局限性.
  • 为了实现无对比剂的脑瘤成像.

主要方法:

  • 提出了使用预训练自动编码器用于T1w和T2-FLAIR图像的隐藏空间表示的3D隐藏纠正流 (T1C-RFlow) 模型.
  • 在潜空间中训练了一种纠正的流量扩散模型.
  • 在使用NMSE和SSIM指标的BraTS 2024数据集 (质瘤,脑膜瘤,转移) 上评估性能.

主要成果:

  • 与基准3D模型 (pix2pix, DDPM, DiT-3D) 相比,T1C-RFlow显示出更高的性能.
  • 获得高的SSIM分数 (例如,0.935对于质瘤) 和低的NMSE (例如,0.044对于质瘤).
  • 与传统的DDPM模型相比,展示了显著更快的无色化时间 (6.9秒/体积).

结论:

  • 该T1C-RFlow方法有效地产生合成T1C图像,与地面真相非常类似.
  • 与以前的扩散模型相比,该模型可以大幅减少时间.
  • 这种方法对开发用于脑瘤的实用无对比剂MRI具有前景.