ISMRM22 - Multimodal Imaging & Data Analysis

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

Multimodal Imaging & Data Analysis

Weekday Course

ORGANIZERS: Janine Lupo, Hao Huang, Dong Liang

Tuesday, 10 May 2022

ICC Capital Suite 14-16

14:30 - 16:30

Moderators:
Multimodal Imaging II: Thomas Liu

Skill Level: Basic to Intermediate

Session Number: Tu-03

Session Number: Tu-03

Overview
This course will give a broad overview of multimodal techniques including PET-MR, MR-guided ultrasound, and combining MRI with either optical imaging or MEG/EEG to probe brain tissue microstructure and function. The course will emphasize the complementary information offered by multimodal imaging and how it functions in diversifying numerous clinical and scientific inquiries.

Target Audience
Researchers and clinicians interested in learning more about what multimodal imaging techniques are available and how they can be leveraged to improve upon what MRI offers for various applications.

Educational Objectives
As a result of attending this course, participants should be able to:
- Explain the advantages of using multimodality imaging in various contexts;
- Identify applications that have the potential to benefit the most from multimodality imaging and how to get started; and
- Summarize the principles, data analysis approaches, and practical significance of several popular multimodal imaging techniques.

	Multimodal Imaging I
14:50		MRI-Guided Focused Ultrasound as a Tool for Treating Cancer View the Presentation Viola Rieke
	Multimodal Imaging II
15:10		MR-Optical Imaging for Probing Brain Structure & Beyond View the Presentation Jennifer McNab Comparing MRI results in postmortem tissues with optical imaging of fluorescently labeled histological features in the same 3D intact tissue is a way to improve the interpretation of MRI data. This talk will describe various approaches to performing these types of comparisons including postmortem MRI and tissue clearing methods, as well as, feature extraction and co-registration considerations.
15:30		MRI-MEG: Leveraging Complementary Information for Studying Brain Connectivity View the Presentation Timothy Roberts This work discusses integration of DTI and related measures of white matter microstructure with temporal measures of evoked response latency from MEG to attempt to identify (1) neural correlates of development and their biological basis, (2) departures from typical development in autism spectrum disorder and related genetic syndromes and (3) a biological basis for stratifying sub-populations of these heterogeneous disorders.
15:50		Modeling Neurological Disorders with Brain Connectivity & PET Imaging View the Presentation Ashish Raj