Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Standardizing MRI Through Data Formats and Phantoms

Standardizing MRI Through Data Formats and Phantoms

Digital Poster

Analysis Methods

Wednesday, 13 May 2026

Digital Posters Row H

13:40 - 14:35

Session Number: 567-03

No CME/CE Credit

Similar Sessions

This session will focus on software tools that support MRI standardization through data formats and phantoms

		567-03-001. A plea for objective DICOM based MRI decoding Pim Pullens Ghent University, Ghent, Belgium Impact: We demonstrate that one-to-one mapping of a standard, user independent, set of DICOM tags is impossible, while it is crucial for analysis of large datasets and clinical workflow.
		567-03-002. An Online ISMRM-OSIPI Platform for Automated and Standardized Reporting of ASL MRI Acquisition Parameters Ibrahim Abdelazim, Hanliang Xu, Patricia Clement, Weiying Dai, Maria Fernandez-Seara, Thomas Lindner, Henk Mutsaerts, Thomas Okell, Xingfeng Shao, Yuriko Suzuki, Manuel Taso, Luis Torres, Petra van Houdt, Jan Petr, David Thomas Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany Impact: This tool provides a DICOM and BIDS-enabled tool for automated ASL parameter reporting. It substantially reduces technical barriers, standardizes nomenclature, and ensures consistent reporting across studies. This enables study comparability, reproducibility, and large-scale multi-cohort analyses.
		567-03-003. An open-source ecosystem for medical imaging research management Fraser Callaghan University Children's Hospital Zurich, Zurich, Switzerland Impact: This integrated open-source ecosystem automates medical imaging research workflows from transfer to analysis, reducing manual effort and enabling reproducible science. The infrastructure is usable "out-of-the-box" while also being highly flexible and customisable to meet varying research needs.
		567-03-004. Daily quality assurance for parallel transmit coils at 7T Sydney Yu, Ajay Nemani, Ken Sakaie, Mark Lowe Cleveland Clinic Imaging Institute, Cleveland, United States of America Impact: We developed a daily QA procedure to monitor the stability of the multi-channel transmit of PTX systems utilizing only B1+ shimming data. No changes to standard protocols are required, allowing for convenient incorporation into existing daily QA protocols.
		567-03-005. A Ready-to-use Online Quality Assurance (QA) Toolkit for Long-term MRI System Stability Monitoring Jieying Zhang, Yishi Wang, Wenzhang Liu, Baogui Zhang, Qing Li, Tianyi Qian Tsinghua University, Beijing, China Impact: An online QA toolkit auto-generates tSNR, SFNR, drift, ghost-rate maps and ROI metrics after each scan, enabling immediate scanner stability checks, early fault detection, and standardized longitudinal monitoring across sessions.
		567-03-006. Imaging Protocol Validation for Global Collaboration Ashley Stewart, Steffen Bollmann, Franco Pestilli The University of Queensland, Brisbane, Australia Impact: dicompare enables researchers to ensure MRI protocol compliance across multi-site studies without compromising data privacy, reducing protocol violations that compromise reproducibility. This browser-based tool democratizes access to quality assurance, supporting implementation of complex imaging guidelines and landmark study protocols.
		567-03-007. dsv2pulseq: Convert Siemens sequence simulation files to Pulseq Marten Veldmann, Qingping Chen, Maxim Zaitsev, Tony Stoecker German Center for Neurodegenerative Diseases (DZNE e.V.), Bonn, Germany Impact: This work enables conversion of Siemens sequence simulation files to Pulseq while preserving exact timing. It facilitates sequence portability across MRI scanners, sharing of precise timing details in publications, and simulation with tools supporting the Pulseq format.
		567-03-008. Accelerating Multi-Site MR Spectroscopy: Pulseq Acquisition Paired with Containerized Reconstruction Junaid Rajput, Marc Jonuscheit, Ali Aghaeifar, Kelvin Chow, Dimo Ivanov, Desmond Tse, Vera Schrauwen-Hinderling, Ralph Strecker EMEA Scientific Partnerships, Siemens Healthineers AG, Duesseldorf, Germany Impact: An open-source spectroscopy workflow using the Pulseq sequence format combined with containerized inline reconstruction with the MRD format will accelerate standardization of multi-site MRS. It will enable non-expert operation, faster iteration of prototypes, and reproducible metabolite quantification in multi-site studies.
		567-03-009. A Whole-Body Digital Phantom for MR Signal Simulation with High-Resolution Spinal Cord Structures Sebastian Rios, Nilser Laines-Medina, Gabrielle Marion, Eva Alonso Ortiz NeuroPoly Lab, Montreal, Canada Impact: An anatomically realistic digital phantom with a spinal cord enables simulation of MR relaxation and B0 field maps. It provides ground-truth data to validate spinal cord imaging, optimize acquisition parameters, and guide B0 shim coil design for the cord.
		567-03-010. Self-Supervised Hierarchy Flow-Based Approach for Creating Digital MRI Phantoms Kseniya Belousova, Zilya Badrieva, Nikita Babich, Iuliia Pisareva, Ekaterina Brui, Walid Al-Haidri ITMO University, Saint Petersburg, Russian Federation Impact: Creating realistic digital MRI phantoms is essential for generating synthetic MR images using analytical and numerical models. Simplifying phantom creation enables generating large, diverse synthetic datasets that effectively train neural networks robust to variability inherent in MR images.
		567-03-011. A new take on open-source pulse sequence development: graphical and modular development in mtrk Anais Artiges, Amanpreet Singh Saimbhi, Eros Montin, Riccardo Lattanzi, Kai Tobias Block Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, United States of America Impact: The new mtrk version offers greater flexibility and streamlined sequence design with enhanced creation and modification tools. Its deployment on CloudMR makes mtrk publicly accessible online and enables integration into fully automated simulation pipelines for rapid testing and optimization.
		567-03-012. QWIST: A Modular MATLAB Pipeline for Reproducible MRI Processing Markus Nilsson, Filip Szczepankiewicz, Carl-Fredrik Westin, Samo Lasic, Nicola Spotorno Lund University, Lund, Sweden Impact: QWIST supports data processing by defining workflows by connecting nodes. Each node declares input-output relationships and defines execution logic. The framework integrates major toolboxes and enforces structure, improves repeatability, reduces errors, and enables reproducible science in MRI.
		567-03-013. Open-source Pulseq Sequences with United Imaging MRI Systems Zheng Liu, Ahmed Aburas, Zhongmiao Wang, Cong Zhang, Jiayu Zhu, Xiaodong Zhou Shanghai United Imaging Healthcare Co., Ltd, Shanghai, China Impact: The interpreter allows researchers to design and run Pulseq sequences on all United Imaging MR systems, and the binary Pulseq file format offers significant advantages for developing ultra-high-resolution sequences. This will greatly promote multi-center research and foster industry-academic-clinical collaboration.
		567-03-014. MRSeqStudio: A Free and Open-Source Web Application for MR Sequence Design and Simulation as a Service Pablo Villacorta-Aylagas, Manuel Rodríguez-Cayetano, Carlos Castillo-Passi, Pablo Irarrazaval, Federico Simmross-Wattenberg, Carlos Alberola-López Universidad de Valladolid, Valladolid, Spain Impact: The developed application provides a complete online environment for pulse sequence prototyping. Cloud-based simulations, together with integrated visualization tools, enable fast sequence testing and make the tool accessible for both clinical users and MRI researchers.
		567-03-015. Moving Virtual Lung Phantom in MR-zero for Motion-Robust NCE Lung MRI Sequence Optimization Marcia Matos Karaorman, Marie Kandels, Lothar Schad, Frank Zoellner Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany Impact: A virtual lung phantom framework enables rapid, hardware-independent optimisation of NCE lung MRI sequences under realistic motion conditions. The resulting sequences can be directly executed on any compatible scanner, facilitating smooth translation from simulation to physical experiments and in-vivo studies.
		567-03-016. ndslice – An interactive n-dimensional array viewer Henric Rydén, Johan Berglund, Sophie Schauman Karolinska University Hospital, Stockholm, Sweden Impact: ndslice allows inspection of high-dimensional data from multiple common MRI data sources and formats. It can be used within python scripts or run as a standalone command line tool.