Physics for Clinicians & Data Scientists
Weekday Course
ORGANIZERS: Johnes Obungoloch, Najat Salameh, Xiaoliang Zhang
Wednesday, 14 May 2025
313A
15:45 -
17:45
Moderators: Cristina Granziera & David Waddington
Skill Level: Basic
Session Number: W-03
No CME/CE Credit
Session Number: W-03
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 Bernard Lanz Keywords: Physics & Engineering: Nuclear Magnetic Resonance In this presentation on Basics of 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. The concept of pulse sequence will be presented as well as the different relaxation times affecting the excited magnetisation. |
16:05 | | Contrast Mechanisms in MR imaging Yunhong Shu Keywords: Education Committee: Clinical MRI MRI, as a highly versatile imaging modality, relies on a complex relationship between signal detection and tissue properties. Optimizing its capabilities requires knowledge of signal generation, contrast modulation, and sequence selection. This talk reviews MRI contrast mechanisms across commonly used sequences, including spin-echo and gradient-echo techniques, with and without magnetization preparation. It also explores the role of MRI contrast agents, relaxometry, and methods like spectral fat suppression, inversion pulses, magnetization transfer saturation, and diffusion weighting in generating tissue contrast. |
16:25 | | k-Space & Data Processing Jang-Yeon Park Keywords: Image acquisition: Image processing K-space is a data space that stores data obtained from MRI scans. At the same time, k-space is also the spatial frequency domain of images reconstructed from such stored data. Therefore, k-space is important not only to better understand MRI acquisition, but also to better understand the images obtained from it. In this talk, I will introduce the definition and important meaning of k-space, and the relationship between k-space and images. In addition, I will briefly explain how to reconstruct images and present some examples of image processing based on k-space and Fourier transformation. |
16:45 | | Basic Sequences & Acceleration Strategies Grace McIlvain |
17:05 | | Identifying & Correcting for Artifacts Peder Larson |