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相关概念视频

Brain Imaging01:14

Brain Imaging

228
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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Computed Tomography01:10

Computed Tomography

4.5K
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...
238
Positron Emission Tomography01:29

Positron Emission Tomography

4.2K
Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body...
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Anatomy of the Brain: Ventricles01:18

Anatomy of the Brain: Ventricles

3.9K
There are hollow fluid-filled cavities known as ventricles deep inside the human brain. There are two lateral ventricles, one in each cerebral hemisphere, and each has three different projections — the anterior, inferior, and posterior horns visible from the lateral side. A thin membrane called the septum pellucidum separates the two lateral ventricles. The slender third ventricle in the diencephalon is connected to each lateral ventricle via a channel called the interventricular foramen.
3.9K
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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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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相关实验视频

Updated: Jun 28, 2025

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo
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Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

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这是一个构成可视化引擎,用于脑成像数据.

Rastko Ciric1, Anna Xu2,3, Russell A Poldrack2,3

  • 1Department of Bioengineering, Stanford University, Stanford, CA, USA.

bioRxiv : the preprint server for biology
|April 25, 2024
PubMed
概括
此摘要是机器生成的。

介绍一下hyve,这是一个简化大脑几何可视化的Python库. 该工具可为各种神经成像数据提供定制的,可重复使用的可视化协议,从而提高解释和研究效率.

关键词:
连接性的连接性.几何学几何学几何学神经成像是一种神经成像.软件 软件 软件 软件 软件视觉化的可视化

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相关实验视频

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Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

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科学领域:

  • 神经成像是一种神经成像.
  • 科学可视化科学可视化
  • 计算神经科学是一种神经科学.

背景情况:

  • 解释复杂的大脑数据需要有效的可视化技术.
  • 异质的大脑几何 (体积,表面,网络) 传统上需要单独的软件解决方案.
  • 需要采用统一的方法来处理各种神经成像数据结构.

研究的目的:

  • 介绍hyve,一个Python库,用于创建定制的,参数可视化用于各种大脑几何形状.
  • 实现几何,输入和输出原体的无集成,以实现灵活的可视化协议.
  • 通过统一的框架支持各种神经成像研究目标.

主要方法:

  • 在Python中开发了一个组成的功能框架.
  • 使用几何,输入和输出原始的实现了可重复使用的可视化协议.
  • 集成的自动化文档生成和串行可视化生产.

主要成果:

  • 蜂巢允许参数实现各种大脑几何形状的自定义可视化.
  • 用户可以从不同的原始类型中编写可重复使用的协议.
  • 图书馆自动化文档,并支持多面板图形组织.

结论:

  • 蜂巢为各种神经成像研究提供了定制可视化创建的便利.
  • 构成框架简化了异质大脑几何形状的可视化过程.
  • 这种方法提高了结构化神经成像数据和结果的解释.