Les infos clés
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.
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.
Les intervenants
Sunghong Park
Associate Professor
Department of Bio and Brain Engineering
Le concepteur
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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