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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/mri-fundamentals
课程评论：没有评论
课程名称：MRI基础知识 课程概述：欢迎来到这门课程！学习者将掌握基本的磁共振成像（MRI）物理学与原理，并了解多种MRI数据采集策略。具体而言，学习者将了解磁共振现象，磁共振信号的生成，如何利用MRI形成图像，以及影像参数如何影响软组织对比度。此外，课程还将介绍多种MR成像序列，包括自旋回波、梯度回波、快速自旋回波、回声平面成像和反转恢复等。 课程大纲： 1. 课程概述：第一周，将介绍课程及MRI的关键原理，包括MRI的定义和主要组成部分。 2. 磁共振现象：这一周将探讨磁共振现象，解释弛豫现象及射频如何引起磁共振。 3. 信号处理理论：在此模块中，学习者将学习信号处理理论，了解MRI中最重要的概念，包括傅里叶变换和奈奎斯特采样定理。 4. MR图像形成：在第四讲中，学习者将了解如何通过梯度脉冲序列生成MR图像，包括切片选择、频率编码和相位编码等。 5. 图像对比度、视野和分辨率：这一周学习者将了解影像参数如何影响软组织对比度，并学习测量视野和分辨率的方法。 6. MRI数据采集策略：在本模块中，学习者将学习MRI数据采集策略，接触多种MR成像序列，包括自旋回波、梯度回波、快速自旋回波、回声平面成像和反转恢复。 通过本课程的学习，您将对MRI的基本原理和应用有深入的理解。
Name:1 Overview of MRI
Description:Welcome! This first week you will be introduced to the course and key principles of mri. You will learn what is mri and the major components of mri.
Name:2 Mag Reson Phenomenon
Description:This week, you will explore what is magnetic resonance phenomeon. We will also guide you to what is relaxation and how RF apply to cause magnetic resonance.
Name:3 Signal Processing Theory
Description:In this module, you will learn signal processing theory. You will be exposed to the most important concepts in mri which contain fourier transform and nyquist sampling therom.
Name:4 MR IMAGE FORMATION
Description:In lecture 4, we will expose you to how to sequence gradient pulses to get an mr image. You will also learn about sequence gradient pulses which include slice selection, frequency encoding and phase encoding.
Name:5 IMAGE CONTRAST, FIELD OF VIEW, AND RESOLUTION
Description:In this week, learners will get to know how soft tissue contrast can change with imaging parameters. We will also guide you what is field of view and how to measure resolution.
Name:6 MRI DATA ACQUISITION STRATEGIES
Description:In this module, you will learn about mri data acquisition strategies. Also, you will be exposed to MR imaging sequences of spin echo, gradient echo, fast spin echo, echo planar imaging, and inversion recovery.
Welcome! In this course learners will develop expertise in basic magnetic resonance imaging (MRI) physics and principles and gain knowledge of many different data acquisition strategies in MRI. In particular, learners will get to know what is magnetic resonance phenomenon, how magnetic resonance signals are generated, how an image can be formulated using MRI, how soft tissue contrast can change with imaging parameters. Also introduced will be MR imaging sequences of spin echo, gradient echo, fast spin echo, echo planar imaging, inversion recovery, etc.
