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.
Call for Abstracts: Special Session
Call for Abstracts: Special Session on Software Tools for Data Sampling & Image Reconstruction
Similar to previous Sedona workshops, we specifically encourage the submission of abstracts that describe open-source software for simulation, sequence design, and analysis and image reconstruction. We will have a special session on open-source software that will consist of three- to four-minute presentation pitches, followed by an interactive software demo tutorial.
Approximately five (5) packages will be selected based on coverage of areas and scope of the packages.
The software tools must be open-source and free for academics (for example, BSD or GPL licenses. No commercial license software). Proposals should follow the regular abstract submission format and should focus on a description of the software tool, its rationale, use case, and example applications. A link to the software package page must be included.
In 2019, the ISMRM annual meeting had, for the first time, a weekend educational course on open-source software. We equally encourage submissions of new software that was not presented at the annual meeting, as well as updates on software that was presented there. In the case of an update, we specifically ask authors to point out novelty with respect to the previous presentation. Novelty can be either features of the software itself or a new didactic format of the interactive tutorial. In case of a didactic update, we specifically encourage more advanced tutorials that assume that the participants already know the basics of the software from the annual meeting and focus on practical problems the users have when using the software for their research problems.
Open-Source Software Session Organizers:
Florian Knoll, Ph.D. New York University School of Medicine New York, NY, USA
Michael Lustig, Ph.D. University of California, Berkeley Berkeley, CA, USA