ISMRM25 - Thursday Plenary

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

Thursday Plenary

Plenary Session

ORGANIZERS: Berkin Bilgic, Shaoying Huang, Yogesh Rathi, Andrew Webb

Thursday, 15 May 2025

Plenary Hall

10:30 - 11:45

Moderators: Berkin Bilgic & Yogesh Rathi

Session Number: P-04

No CME/CE Credit

Session Number: P-04

Overview
The major objectives of this session are to show how research developments can be made available to as wide an audience as possible by publishing designs, code and methodology open source. Three examples will be shown in the areas of hardware development, sequence development and image reconstruction. The speakers will discuss the philosophy behind open-source, and some of the challenges involved in setting up and maintaining such platforms, in addition to describing the details of their particular applications.

Target Audience
Anyone who is interested in increasing the accessibility of MR via making their algorithms and methods open-source.

Educational Objectives
As a result of attending this course, participants should be able to:
• Evaluate the advantages and disadvantages of developing and using open-source tools;
• Recognize the range of existing open-source tools that may help them efficiently implement their own research ideas; and
• Assess whether and to what extent an open-source approach to hardware, sequence and reconstruction development can help make MRI technology, and healthcare technology in general, more accessible, affordable and reproducible.

View Full Session Recording

10:30		Young Investigator Awards Presentation Mark Griswold
10:45		Open-Source MR Hardware Clarissa Cooley
11:05		Unleashing the Power of Open Source Vendor Agnostic Sequence Development View Presentation Video Maxim Zaitsev Impact: Flexibility of MRI drives innovation, but vendor-locked methods impede transparency and reproducibility. Open-source MR with shared code and transparent calibration routines will accelerate education, boost collaboration, improve reproducibility and remove vendor barriers.
11:25		Open-Source Data Reconstruction Martin Uecker Impact: Open source image reconstruction frameworks allow everybody to develop, improve, and evaluate advanced reconstruction algorithms – enabling vendor-neutral studies and reproducible science.