date_range Débute le 24 décembre 2018
event_note Se termine le 11 février 2019
list 6 séquences
assignment Niveau : Intermédiaire
chat_bubble_outline Langue : Anglais
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Les infos clés

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timer 12 heures de cours

En résumé

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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Le programme

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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Les intervenants

Sunghong Park
Associate Professor
Department of Bio and Brain Engineering

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Le concepteur

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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La plateforme

Coursera est une entreprise numérique proposant des formations en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.

Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.

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