Educational Course
Fundamentals of MRI Physics & Engineering III
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Session Topic: Educational Q&A: P&E
Session Sub-Topic: Fundamentals of MRI Physics & Engineering III
Weekday Course
ORGANIZERS: Nicole Seiberlich, Michael Lustig, Elizabeth Hecht
| Tuesday Parallel 1 Live Q&A | Tuesday, 11 August 2020, 15:15 - 16:00 UTC | Moderators: |
Skill Level: Basic to Intermediate
Session Number: W-05
Overview
This session is part of an eight-hour course that will be a basic and comprehensive review of MRI physics and techniques; each session can be attended independent of the others. The presentations will be non-mathematical and suitable for clinicians and physicists new to the field and will cover topics including basic MRI physics, pulse sequence design, contrast weightings, image reconstruction, and image artifacts.
Target Audience
Those interested may include: radiologists and clinicians relatively new to MR imaging (including residents and fellows), experienced radiologists and clinicians wanting a refresher course in MR physics, and physicists and engineers wanting an introduction to the field.
Educational Objectives
As a result of attending this course, participants should be able to:
- Describe how MR angiography is performed and articulate the challenges and applications of these techniques;
- Describe the principles and applications of parallel imaging for accelerated MR imaging; and
- Identify the differences between different sparse reconstruction techniques, their pros and cons, and potential applications.
| MR Angiography
Oliver Wieben
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| Parallel Imaging
Felix Breuer
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| Sparse Reconstruction Techniques
Anthony Christodoulou
MRI is a powerful but slow imaging modality, presenting challenges for scanner throughput, motion corruption, and observation of fast dynamic processes. Modern sparse reconstruction techniques break the classical speed limits of MRI, opening new opportunities and solving several long-standing problems. These approaches exploit the redundancy within images and across image sequences, representing images more efficiently than classical approaches to allow efficient acquisition. This talk will provide an overview of various sparse reconstruction techniques for static and dynamic imaging, with particular focus on compressed sensing and low-rank approaches.
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