ISMRM22 - Complementing MRI with Other Modalities: Hardware & Method Development: Motion Tracking & Correction Systems

Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting • 07-12 May 2022 • London, UK

Complementing MRI with Other Modalities: Hardware & Method Development: Motion Tracking & Correction Systems

Sunrise Course

ORGANIZERS: Candace Fleischer, Natalia Petridou, Maxime Guye, Özlem Ipek

Monday, 09 May 2022

ICC Capital Hall 1

08:00 - 09:00

Moderators: Jason Allen

Skill Level: Basic to Advanced

Session Number: S-M-08

Session Number: S-M-08

Overview
This educational course provides an overview of opportunities and challenges involved in combining other modalities with MRI, with a focus on in-bore systems including EEG, TMS, ultrasound, PET, linac, and motion tracking hardware.

Target Audience
Scientists and clinicians who want to learn about hardware and methods involved in multimodal imaging.

Educational Objectives
As a result of attending this course, participants should be able to:
- Summarize the state-of-the-art technical aspects of multimodal MRI;
- Recognize the challenges and opportunities with multimodal systems and tools that can be combined with MRI; and
- Identify the engineering aspects involved in EEG, TMS, ultrasound, motion tracking, PET, and linacs.

	08:00		Hardware Approaches for Motion Tracking View the Presentation Adam van Niekerk We will take a look at measuring motion in an MR scanner from a “hackers” perspective. First, we will discuss the sensors already available to us - in terms of installed hardware infrastructure. Then, we will discuss some ideas of exploiting these resources for a variety of motion detection problems. Next, we will discuss sensors. Passive sensors are typically easier to make, however, they can be limiting. This is especially true when considering the vast number of low cost sensors available, but these often aren't MRI compatible. We will look into some tricks to get around this.
	08:30		Acquisition Techniques for Motion Correction View the Presentation Onur Afacan This lecture will highlight how the information from external motion sensors and sequence based navigators can be integrated into the MRI acquisition to detect and correct for motion artifacts. We will discuss how motion information can be used to evaluate image quality and improve clinical workflow. We will also discuss how the motion information can be used retrospectively to correct for motion artifacts or prospectively steer the FOV in real-time, suspend data acquisition or reacquire datasets. Finally we will review hardware and software methods to correct for secondary effects of motion such as B0 and B1 field inhomogeneities.