ISMRM 2026 Workshop on Data Sampling & Image Reconstruction

Organizers

Chair:
James Pipe, Ph.D.

Vice-Chair:
Nicole Seiberlich, Ph.D.

Call for Abstracts & Stipend Applications

Abstract submission deadline:

Declarations & Supporters

Faculty declarations will be available approximately two weeks before the workshop begins.

Registration & Travel

Registration Coming Soon

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Please download and complete this self-fillable PDF letter.

For Presenters & Attendees

Program information coming soon.

Guidelines for Presenters & Posters

Sustainability

Workshop Overview

The workshop will be the 7th in a series of Sedona workshops (previously held 2007, 2009, 2013, 2016, 2020, and 2023), and updated to reflect new trends in MRI, but keeping many of the successful elements of the previous workshops. This workshop will continue to explore the practical boundaries of new and unconventional methods for collecting data (pulse sequences) and for reconstructing images from that data. This will include constrained reconstruction such as compressed sensing, AI-assisted reconstruction, quantitative imaging, image evaluation and reproducibility, non-Cartesian methodologies, and parallel imaging. The workshop will explore the challenges to these methods, how to measure and characterize them, and methods (both available and necessary to develop) to overcome them. In addition to invited scientific presentations, the program will include proffered papers and poster presentations.

Target Audience

We will target technical researchers who are developing next-generation methods in data sampling and reconstruction—this has proven to be a seminal workshop for this crowd.

Educational Objectives

Upon completion of this activity, participants should be able to:

Explain the rationale for collecting MRI data in different sampling patterns;
Describe at least two approaches to improve images from spiral sampling;
Describe how MRI might change in substantial ways from its current implementation;
Identify three key projects needed by the community to enact these changes; and
Predict how AI might change MRI recon in the near future.

Program Credit Designation

The International Society for Magnetic Resonance in Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. The International Society for Magnetic Resonance in Medicine designates this live activity for a preliminary maximum of XX.OO* AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

The American Medical Association has an agreement of mutual recognition of Continuing Medical Education (CME) credits with the European Union of Medical Specialists (UEMS), the accreditation body for European countries. Physicians interested in converting AMA PRA Category 1 Credit™ to UEMS-European Accreditation Council for Continuing Medical Education CME credits (ECMECs) should contact the UEMS at mutualrecognition@uems.eu.

Activities certified for AMA PRA Category 1 Credit™ that take place within a member country of the UEMS are not eligible for conversion to ECMECs under this agreement.

The International Society for MR Radiographers & Technologists (ISMRT), A Section of the ISMRM, is recognized by the American Registry of Radiologic Technologists (ARRT) as a Recognized Continuing Education Evaluation Mechanism (RCEEM). This workshop does not offer CE credits.

* preliminary credit designation; subject to change

Claiming Credit

To obtain your credit for the workshop, log in to the ISMRM membership portal at www.ismrm.org, click the [Session Evaluations for Certificates] menu button, find this workshop in the list that appears, click "Begin Evaluation" and follow the instructions provided.

Certificate of Participation

To obtain your Certificate of Participation after the workshop has ended, log in to the ISMRM membership portal at www.ismrm.org, click the [Session Evaluations for Certificates] menu button, find this workshop in the list that appears, click "Begin Evaluation" and follow the instructions provided.