Demystifying MRI Reconstruction: Classical Foundations to AI Frontiers
Weekend Course
Image Acquisition & Analysis
Saturday, 09 May 2026
Auditorium 1
08:00 - 12:00
Moderators: Camila Munoz
No CME/CE Credit
The session will introduce the fundamentals and emerging techniques in accelerated MRI reconstruction, with particular focus on AI-based methods. Promises, pitfalls, parameters of reconstruction frameworks will be discussed.
Skill Level: Basic,Advanced
08:00
Principles of MRI Reconstruction
Rodrigo Lobos University of Michigan, Ann Arbor, United States of America
08:30
Accelerated MRI with Iterative Techniques
Camila Munoz Imperial College London, London, United Kingdom
09:00
AI for MRI: A Primer on Data-Driven Reconstruction
Jyothi Rikhab Chand University of Virginia, Charlottesville, United States of America
09:30 - 10:00 — Break
10:00
Frontiers in AI-Based MRI Reconstruction
Yanjie Zhu Shanghai Institute of Technical Physics, China
10:30
From Research to Radiology: Clinical Impact of AI Reconstruction
Shigeru Kiryu International University of Health and Welfare Hospital, Tochigi, Japan
11:00
Open-Source Frameworks for MRI Reconstruction
Pierre-Antoine Comby CEA/Neurospin, Gif-Sur-Yvette, France
Carlos Castillo-Passi Cardio MR, Santiago, Chile
11:30
Open-Source Frameworks for MRI Reconstruction, Slot 2