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assignment 等级:中级
chat_bubble_outline 语言 : 英语
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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.

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课程大纲

Week 1: Overview of MRI. History of MRI, Comparison with other biomedical imaging modalities, MRI magnet, RF coils, gradient coils.

Week 2: Magnetic resonance phenomenon. microscopic MRI, Larmor equation, RF pulse, relaxation

Week 3: Review of basic signal processing principle. Fourier transform.

Week 4: Formation of an MR image. Concept of FID, spin echo, k-space, slice selection, frequency encoding, phase encoding, etc.

Week 5: MR imaging parameters and image contrast. Concept of imaging parameters such as TR, TE, FOV, matrix, etc, and image contrast such as T1-weighting, T2-weighting, T2*-weighting.

Week 6: MRI data acquisition strategies. Spin echo, gradient echo, fast spin echo, echo planar imaging, 3D imaging, etc.

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教师

Sunghong Park
Associate Professor
Department of Bio and Brain Engineering

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内容设计师

Korea Advanced Institute of Science and Technology
The Korea Advanced Institute of Science and Technology (KAIST) was established in 1971 by the Korean government as the nation’s first research-intensive graduate school for science, engineering and technology. It has now grown into one of the world’s best universities, delivering top notch education and research programs for undergraduate and graduate students. KAIST encourages interdisciplinary and convergent research across a wide spectrum of disciplines, as well as strong collaborations with industry and global institutions.
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平台

Coursera

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。

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