MRI Fundamentals

Curso
en
Inglês
12 h
Este conteúdo é classificado como 4.5 de 5
Fonte
  • De www.coursera.org
CONDIÇÕES
  • Individualizado
  • Acesso livre
  • Certificado pago
Mais informações
  • 6 sequências
  • Intermediate Level

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Detalhes do curso

Programa de Estudos

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.

Pré-requisito

Nenhum.

Instrutores

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.

Plataforma

A Coursera é uma empresa digital que oferece um curso on-line massivo e aberto, fundado pelos professores de computação Andrew Ng e Daphne Koller Stanford University, localizado em Mountain View, Califórnia.

O Coursera trabalha com as melhores universidades e organizações para disponibilizar alguns dos seus cursos on-line e oferece cursos em várias disciplinas, incluindo: física, engenharia, humanidades, medicina, biologia, ciências sociais, matemática, negócios, ciência da computação, marketing digital, ciência de dados. e outros assuntos.Cours

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