- From www.coursera.org
MRI Fundamentals
МООК
en
Английский
12 h
This content is rated 4.5 out of 5
- Self-paced
- Free Access
- Fee-based Certificate
- 6 Sequences
- Intermediate Level
Course details
Syllabus
Week 1: Overviewof 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, RFpulse, 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, frequencyencoding, phase encoding, etc.
Week 5: MR imaging parameters and image contrast. Concept of imagingparameters such as TR, TE, FOV, matrix, etc, and image contrast such asT1-weighting, T2-weighting, T2*-weighting.
Week 6: MRI data acquisition strategies. Spin echo, gradient echo, fast spinecho, echo planar imaging, 3D imaging, etc.
Prerequisite
None.
Instructors
Sunghong Park
Associate Professor
Department of Bio and Brain Engineering
Editor
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.
Platform
Coursera - это цифровая компания, предлагающая массовые открытые онлайн-курсы, основанные учителями компьютеров Эндрю Нгом и Стэнфордским университетом Дафни Коллер, расположенные в Маунтин-Вью, штат Калифорния.
Coursera работает с ведущими университетами и организациями, чтобы сделать некоторые из своих курсов доступными в Интернете, и предлагает курсы по многим предметам, включая: физику, инженерию, гуманитарные науки, медицину, биологию, социальные науки, математику, бизнес, информатику, цифровой маркетинг, науку о данных и другие предметы.
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