Computer Number: 1

S. Gonzalez Riedel, A. Raaijmakers, M. Breeuwer
Eindhoven University of Technology, Eindhoven, Netherlands

Impact: The new open-source MRI simulator, eduMRIsim, mimics a clinical scanner allowing students to experimentally explore scan parameter effects on image appearance. Positive feedback from educators affirms its potential as a valuable education tool for the next generation of MRI researchers.

Computer Number: 2

J. Kloiber, A. Jaffray, C. Graf, A. Rauscher
University of British Columbia, Vancouver, Canada

Impact: Long load times of MRI sequences can significantly slow down simulation and reconstruction projects. The proposed Julia module provides a fast and accurate solution that can easily be integrated into other projects.

Computer Number: 3

W. Shin, P. Taylor, R. Reynolds, M. Lowe
Cleveland Clinic, Cleveland, United States

Impact: The SLOMOCO software is publicly available. We demonstrate its usage, and the performance is validated with 10 different inter-/intra-volume motion corrupted MR datasets using ex-vivo brain. 

Computer Number: 4

P. Schaten, N. Scholand, D. Mackner, M. Blumenthal, M. Uecker
Graz University of Technology, Graz, Austria

Impact: We present a comprehensive interactive real-time MRI framework built from modular, open-source components and geared towards interventional MRI to facilitate the use of interactive real-time MRI in clinical applications.

Computer Number: 5

M. Xu, S. Bollmann, S. Stefan, D. Nanz, P. Pullens, K. Pine, K. Chow, R. Schneider, T. Wuerfl, M. Barth, D. Guellmar
The University of Queensland, Brisbane, Australia

Impact: By enabling seamless integration of Neurodesk containers directly on the MRI scanner console, this work simplifies imaging pipeline deployment, reduces data analysis delays, and allows rapid image analysis ultimately supporting broader accessibility and clinical translation of advanced image processing pipelines.

Computer Number: 6

E. Avventi, H. Ryden, A. Van Niekerk, O. Norbeck, S. Schauman, S. Skare
Karolinska university hospital, Stockholm, Sweden

Impact: The abstractions presented in this study has been incorporated in the latest version of KSFoundation that was recently released and is available on request [3]. 

Computer Number: 7

M. Cencini, M. Lancione, L. Biagi, A. Retico, M. Tosetti
INFN, Pisa Division, Pisa, Italy

Impact: MRTwin represents a useful tool for sequence design,  reconstruction optimization and benchmarking, by providing a framework for the generation of digital twins for quantitative imaging.

Computer Number: 8

S. Russek, K. Stupic, K. Keenan, S. Ogier, E. Buchanan, E. Emery
NIST, Boulder, United States

Impact: The open Python console wrapper will allow easier development of new pulse sequences, assessment of MRI-measurement biases, better integration of the scanner with other required hardware, and provide a simple path to Python-based image processing. 

Computer Number: 9

J. Santos, P. Osório, M. Henningsson, R. Nunes, T. Correia
Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal

Impact: DeepPlanner4Cardio effectively supports CMR operators by providing an accessible, automated solution to enable fast and reproducible cardiac view planning, demonstrating great potential to be applied in a clinical setting.

Computer Number: 10

A. Gaspar, P. Hughes, J-F Nielsen, N. Stewart, J. Wild, T. Correia, R. Nunes
Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal

Impact: The open-source myocardial T1 mapping (Open-MOLLI) was successfully adapted and tested on a GE Signa 3T PET-MR scanner.  The sequence is now ready to be applied in inter-scanner reproducibility brain studies. Triggering will be added next for cardiac applications.

Computer Number: 11

J. Berglund, K. Jain, J. Sousa, K. Hedman, M. Fahlström
Medical Physics, Uppsala University Hospital, Uppsala, Sweden

Impact: An open-source browser-based educational MRI simulator was developed that  jointly visualizes four levels of the imaging process: acquisition parameters, pulse sequence, k-space, and the MR image. Low latency enables students to explore the interaction between these levels in real time.

Computer Number: 12

A. Petrovic, R. Bammer
Monash Health, Melbourne, Australia

Impact: Marsupial will enable development of platform-independent open-source MRI sequences. Nim’s concise syntax and Marsupial’s design will considerably speed up the development process, making more sequences readily available to the research community.

Computer Number: 13

Y. Bu, Z. Wang, J. Li, Y. Liu, M. Lyu
Shenzhen Technology University, Shenzhen, China

Impact: This approach enables faster MRI reconstructions, making it suitable for many applications.

Computer Number: 14

S. Geethanath, A. Artiges, T. Block, Q. Chen, T. Fernandes, S. Ganji, W. Grissom, D. Hoinkiss, J. Vaughan Jr., A. Konar, S. Konstandin, V. Mascarenhas, M. Nagtegaal, J. Nielsen, R. Nunes, M. Shafiekhani, M. Zaitsev
Johns Hopkins University, Ellicott City, United States

Impact: We demonstrated the expanded use of the VOP framework to validate and share the IRSE and TSE sequences across sites, vendors, software versions, and two field strengths. This framework created an online platform to interact and share pulse sequences.

Computer Number: 15

J. Endres, M. Zaiss
University Clinic Erlangen, Erlangen, Germany

Impact: Pulseq is a widely used and vendor agnostic library for writing MRI sequences. With pulseq-zero, existing and new sequence scripts can be simulated and optimized directly, with only minor modifications. The resulting sequences can be measured on real scanners immediately.

Computer Number: 16

M. Bertrait, C. R, P. Ciuciu
CEA Neurospin, Gif-sur-Yvette, France

Impact: gGRAPPA provides a fast, flexible, and open-source solution for GRAPPA MRI reconstruction on GPU, significantly accelerating reconstruction times and enabling ultra high-resolution imaging reconstruction, thereby supporting advanced research applications across diverse MRI protocols.