Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition

End-to-End Software Innovation

Oral

Analysis Methods

Tuesday, 12 May 2026

Hall 1A

13:40 - 15:30

Moderators: Jon-Fredrik Nielsen & Martijn Nagtegaal

Session Number: 401-03

No CME/CE Credit

Similar Sessions

This session covers the use and development of software needed across the pipeline (from scanner build, imaging acquisition, and image analysis).

Skill Level: Intermediate

13:40		401-03-001. MacroQA: An Open-Source Fiji-based tool for automated ACR MRI Phantom Quality Assurance Icaro Oliveira, Gabriel Vitorino, Victor Hugo Gnatkovski, Pedro Cayres de Oliveira, Mateus Quiel, Carlos Salmon Ribeirao Preto Medical School - University of Sao Paulo, Brazil Impact: Existing proprietary QA tools limit standardization. MacroQA addresses this by providing an open-source, verifiable implementation of the complete ACR test suite, built in ImageJ/Fiji. This freely accessible solution fundamentally ensures reproducible and transparent MRI performance in research and clinical settings.
13:51		401-03-002. Inline reconstruction of High-Resolution 1H MRSI Using Non-Cartesian Trajectories at Ultra-High Field for direct clinical use Ludovica Romanin, Sara Zatezalo, Kelvin Chow, Lumeng Cui, Thomas Yu, Gian Franco Piredda, Tom Hilbert, Ovidiu Andronesi, Paul Weiser, Antoine Klauser Siemens Healthineers International AG, Lausanne, Switzerland Impact: Inline reconstruction and processing of 3D MRSI with FIRE bridges the gap between advanced state-of-the-art metabolic imaging and the clinical workflow, paving the way for robust and reproducible characterization of metabolite alterations and pathologies in the brain.
14:02		401-03-003. In vivo imaging with a low-cost MRI scanner and cloud data processing in low-resource settings. Teresa Guallart Naval, Robert Asiimwe, Patricia Tusiime, Mary Nassejje, Leo Kinyera, Lemi Robin, Nayebare Maureen, Luiz Guilherme Santos, Marina Fernández-García, Lucas Swistunow, José Algarín, John Stairs, Michael Hansen, Tom O'Reilly, Ronald Amodoi, Andrew Webb, Joshua Harper, Steven Schiff, Johnes Obungoloch, Joseba Alonso Institute for Molecular Imaging and Instrumentation (i3M), Consejo Superior de Investigaciones Científicas & Universitat Politècnica de València, Valencia, Spain Impact: This work demonstrates the first in vivo MRI images acquired with a locally built, low-cost, low-field scanner in Africa, showing that systematic optimization and open-source tools can enable reliable, sustainable imaging in low-resource settings.
14:13		401-03-004. QuIDBBIDS — Quantitative Imaging Derived Biomarkers in BIDS Marcel Zwiers, Kwok-Shing Chan, José Marques Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, Netherlands Impact: QuIDBBIDS is a BIDS-app that enables researchers to easily compute quantitative MRI biomarkers using standardized BIDS data. By simplifying workflow creation and ensuring reproducibility, QuIDBBIDS lowers barriers for large-scale neuroimaging studies and supports broader clinical translation of quantitative MRI methods.
14:24		401-03-005. seeVieweR: A 3D/4D NIfTI visualization tool for volumetric data exploration and figure/movie generation Alex Bhogal University Medical Center Utrecht, Utrecht, Netherlands Impact: seeVieweR enables researchers to intuitively visualize volumetric MRI data. It simplifies multi-overlay visualization, threshold-based masking, and reproducible figure generation. By bridging analysis and presentation, it empowers scientists to explore and communicate complex volumetric imaging results efficiently and reproducibly.
14:35		401-03-006. LN2_FRISGO: A software solution for artifact mitigation in fast high-resolution fMRI Renzo Huber, Omer Faruk Gulban, Chiara Mauri, Alessandra Pizzuti, Divya Varadarajan, Kyle Droppa, Cole Analoro, Lasse Knudsen, Bruce Fischl, Rüdiger Stirnberg Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America Impact: We present LN2_FRISGO, an fMRI software solution for correcting EPI artifacts. Integrated into the LayNii framework, it enables advanced 7T fMRI acquisitions, including 0.35mm fMRI, whole-brain 0.9mm layer-fMRI at 1.7s TR, and 3mm whole-brain scans at <100ms TR.
14:46		401-03-007. Unlocking the Spin-Lock: Open-Source and Vendor-Agnostic Cardiac T1ρ Fingerprinting with Pulseq Maximilian Gram, Tom Griesler, Sydney Kaplan, Jannik Stebani, Ivaylo Angelov, Petra Albert, Martin Blaimer, Tobias Wech, Qingping Chen, Xiang Wang, Maxim Zaitsev, Jesse Hamilton, Peter Jakob, Nicole Seiberlich, Peter Nordbeck University Hospital Würzburg, Würzburg, Germany Impact: This work provides the first open-source framework for cardiac MRF including T_1ρ, enabling standardized application across different platforms. It provides a unified simulation and reconstruction pipeline to facilitate multi-site studies and accelerate translation of spin-lock techniques into clinical research.
14:57		401-03-008. A4IM: Affordable, Accessible, Adjustable and Accurate Imaging at Low Field Strength with the OSI² ONE System David Schote, Helge Herthum, Christoph Kolbitsch, Erum Anwar, Christian Engler, Jan Gregor Frintz, Patrick Hucker, Baki Karaböce, Ilia Kulikov, Sebastian Littin, Christian Meumann, Reiner Montag, Tobias Mohr, Catarina Redshaw Kranich, Sebastian Schachel, Andrew Webb, Maxim Zaitsev, Umberto Zanovello, Lukas Winter Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Berlin, Germany Impact: This open-source, low-field MRI system combines affordability, adjustability, and quantitative accuracy, enabling accessible point-of-care imaging and fostering reproducible, sustainable MRI research and development.
15:08		401-03-009. Go Figure: Transparency in neuroscience images preserves context and clarifies interpretation Paul Taylor, Himanshu Aggarwal, Peter Bandettini, Marco Barilari, Molly Bright, César Caballero-Gaudes, Vince Calhoun, Mallar Chakravarty, Gabriel Devenyi, Jennifer Evans, Eduardo Garza-Villarreal, Jalil Rasgado-Toledo, Remi Gau, Daniel Glen, Rainer Goebel, Javier Gonzalez-Castillo, Omer Faruk Gulban, Yaroslav Halchenko, Daniel Handwerker, Taylor Hanayik, Peter Lauren, David Leopold, Jason Lerch, Christian Mathys, Paul McCarthy, Anke McLeod, Amanda Mejia, Stefano Moia, Thomas Nichols, Cyril Pernet, Luiz Pessoa, Bettina Pfleiderer, Justin Rajendra, Laura Reyes, Richard Reynolds, Vinai Roopchansingh, Chris Rorden, Brian Russ, Benedikt Sundermann, Bertrand Thirion, Salvatore Torrisi, Gang Chen National Institute of Mental Health, Bethesda, United States of America Impact: Functional neuroimaging is currently undergoing a reliability crisis. Here we demonstrate the benefits of an urgent improvement for the community to make, for the sake of both reproducibility and understanding of results: presenting more complete results with transparent thresholding.
15:19		401-03-010. MR RawDeface: An Open Source, Automated Tool for Removal of Identifying Facial Features from Raw Multi-Channel k-Space Data Selina Liu, Mark Chiew University of Toronto, Toronto, Canada Impact: MR RawDeface is a fully-automated open-source pipeline that removes identifying facial features from k-space 3D brain imaging datasets. By removing facial features, our work aims to enable the sharing of raw, potentially under-sampled k-space data while preserving its signal integrity.