MRI Data Multi-Site Harmonization
Weekday Course
ORGANIZERS: Berkin
Bilgic, Yogesh Rathi, Gary Zhang
Wednesday, 14 May 2025
313A
08:15 - 10:15
Moderators: Eleftherios
Garyfallidis & Lipeng Ning
Skill Level: Basic
to Advanced
Session Number: W-01
CME and CE Credit
Session Number:
W-01
Overview
This tutorial will start with covering the overall problem of
reproducibility and how it impacts reserach studies, with specific
emphasis on inter-scanner and inter-site variability. Three different
ways in which the field has addressed the inter-scanner variability will
be covered, beginning with the use of statistical methods on
post-processed data and the use of AI algorithms to remove variability
from the data itself. Finally, the emerging field of vendor neutral
pulse sequence programming to acquire data consistenly across scanners
will be covered.
Target Audience
Clinicians who want to learn about inter-scanner variability. Students,
research fellows and investigators who want to know about different ways
to address the problem of inter-scanner variability and how
harmonization techniques help reduce bias and scanner-specific effects
in your data.
Educational Objectives
As a result of attending this course, participants should be able to:
• Describe the challenges to reproducibility due to inter-scanner
effects;
• Describe harmonization techniques for data already acquired; and
• Summarize harmonization methods for prospective MRI studies.
08:15 |
|
Challenges to Reproducibility in Multi-Site MRI
Patricia Grant
|
08:40 |
|
Retrospective Harmonization: Statistical Methods
Chantal Tax
|
09:05 |
|
Retrospective Harmonization: AI Methods
Daniel Moyer
|
09:30 |
|
Prospective Harmonized Acquisition & Reconstruction
Shohei Fujita
Impact: Vendor-harmonized MRI acquisition using Pulseq
significantly reduces cross-vendor variability compared to
vendor-specific sequences without harmonization, yielding
more consistent multi-site imaging results.
|
09:55 |
|
Panel Discussion |