ISMRM25 - Physics for Clinicians & Data Scientists

ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

Physics for Clinicians & Data Scientists

Weekday Course

ORGANIZERS: Johnes Obungoloch, Najat Salameh, Xiaoliang Zhang

Wednesday, 14 May 2025

316B

15:45 - 17:45

Moderators: Cristina Granziera & David Waddington

Skill Level: Basic

Session Number: W-04

No CME/CE Credit

Session Number: W-04

Overview
This course is an accelerated MRI lecture covering the main principles behind MR physics and imaging for scientists and clinicians who do not have an existing knowledge of the topic or a training in physics or engineering.
The session will include 5 lectures (20 min each) and a "meet the teachers" slot at the very end (20 min):
1- Basic MR
2- Contrast mechanisms
3- k-space & data processing
4- Basic sequences & acceleration strategies
5- Identifying & correcting for artifacts
6- Meet the teachers

Target Audience
Clinicians and data scientists new to the field of MRI

Educational Objectives
As a result of attending this course, participants should be able to:
• Define basic NMR and MRI principles;
• Describe conventional and more advanced acquisition strategies; and
• Identify and correct for basic artifacts.

15:45		Basics MR View Presentation Video Bernard Lanz Impact: In this presentation on Basics MR, the classical description of the NMR principles will be described with an introduction on the macroscopic magnetisation resulting from nuclear spins and how one can manipulate the magnetisation to acquire radio-frequency signals.
16:05		Contrast Mechanisms in MR imaging View Presentation Video Yunhong Shu Impact: This talk explores MRI contrast mechanisms, highlighting the relationship between signal detection and tissue properties. It covers several sequences, contrast agents, relaxometry, and techniques like fat suppression, inversion pulses, magnetization transfer, etc.
16:45		Basic Sequences & Acceleration Strategies Grace McIlvain
17:05		Identifying & Correcting for Artifacts View Presentation Video Peder Larson, Michael Hoff Impact: This lecture will discuss the most common artifacts in MRI, including how to identify them, what is the source of the artifact, and strategies for artifact mitigation.
17:25		k-Space & Data Processing Seung-Kyun LEE Impact: k-Space is the raw data space in MRI and also refers to the spatial frequency domain of images reconstructed from the data. k-Space is important to understand MRI data acquisition, image reconstruction, and image artifacts.