ISMRM25 - Ensuring Precision in Quantitative Imaging: Quality Assessment, Repeatability, & Reproducibility

ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

Ensuring Precision in Quantitative Imaging: Quality Assessment, Repeatability, & Reproducibility

Digital Poster

Acquisition & Reconstruction

Monday, 12 May 2025

Exhibition Hall

13:45 - 14:45

Session Number: D-01

No CME/CE Credit

		Computer Number: 1 1658. ON-Harmony: A multi-site, multi-modal travelling-heads resource for brain MRI harmonisation View Presentation Video S. Warrington, A. Torchi, O. Mougin, J. Campbell, A. Ntata, M. Craig, S. Assimopoulos, F. Alfaro-Almagro, K. Miller, M. Jenkinson, P. Morgan, S. Sotiropoulos Sir Peter Mansfield Imaging Centre, Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK, Nottingham, United Kingdom Impact: Our openly-released multimodal brain MRI harmonisation resource considers a range of vendors and scanner generations (wide/narrow bore, low/high gradients, different coil numbers). It can therefore enable powerful studies of between-scanner effects and provide a testbed for evaluation of harmonisation approaches.
		Computer Number: 2 1659. MR-WAVES: MR simulations from 3D realistic microvascular networks in a few seconds View Presentation Video T. Coudert, A. Delphin, M. Marçal, A. Barrier, B. Lemasson, E. Barbier, T. Christen Univ. Grenoble Alpes, INSERM U1216, Grenoble Institut Neurosciences, GIN, Grenoble, France Impact: We propose a deep learning-based simulation tool for rapid MR signal generation that accounts for microvascular susceptibility and water diffusion effects. This tool could enhance our understanding of the BOLD effect and improve microvascular parameter quantification via MRF methods.
		Computer Number: 3 1660. Vendor-neutral MP2RAGE with Pulseq in VENUS: Three vendors and five scanners View Presentation Video A. Karakuzu, A. Hagiwara, W. Uchida, K. Kamagata, S. Fujita, B. Tasdelen, J-F Nielsen, S. Aoki, N. Stikov Polytechnique Montreal, Montreal, Canada Impact: Successfully deployed to five 3T scanners from three vendors, Pulseq-MP2RAGE standardizes the entire workflow using VENUS. This approach paves a rigorous path to elevate quantitative MRI to a metrological standard, unlocking the estimation of measurement uncertainties free from vendor-native discrepancies.
		Computer Number: 4 1661. Multi-vendor reproducibility of joint T1-T2 transient-state relaxometry using platform-specific implementations at 3T View Presentation Video M. Lancione, M. Cencini, D. Aquino, C. Baldoli, M. Elia, F. Ghielmetti, D. Montanaro, I. Neri, A. Nigri, R. Pasquariello, S. Pettinato, S. Romano, A. Sbrizzi, P. Scifo, O. Van der Heide, E. Versteeg, L. Biagi, M. Tosetti IRCCS Stella Maris Foundation, Pisa, Italy Impact: Transient-state relaxometry represents a broadly applicable method for quantitative imaging. The assessment of inter-site reproducibility provides a preliminary indication of its sensitivity in detecting pathologies in a multi-center study.
		Computer Number: 5 1662. The Impact of Reconstruction Methods, Reference, and Signed/Absolute Value on Voxel-Wise Analysis of Quantitative Susceptibility Mapping View Presentation Video Y. Tang, H. Zhong, G. Li, S. Fang, Y. Song, Y. Wang, J. Li East China Normal University, Shanghai, China Impact: This study revealed inconsistencies in results arising from factors such as reconstruction methods, reference choices, and statistical indicators in voxel-wise QSM analysis. Careful consideration of these factors is essential to improve accuracy and reliability in future voxel-wise QSM research.
		Computer Number: 6 1663. Highly Crosslinked pAA-PEGDA Hydrogels for T1 modification in Quantitative, Anthropomorphic Phantoms View Presentation Video A. Falk, K. Gopalan, I. Wu, J. Huey, A. Arias, C. Liu, M. Lustig University of California, Berkeley, Berkeley, United States Impact: A reliable, quantitative method for T1 modification in boundaryless hydrogel systems presents a significant opportunity for development in anthropomorphic phantoms. These phantoms have the potential to accelerate the development of quantitative MRI by making research more standardized, reliable, and accessible.
		Computer Number: 7 1664. Test-Retest Reliability of DSC-MRI Perfusion Metrics in Multiple Sclerosis Patients and Healthy Controls View Presentation Video M. Soltany Sadrabadi, L. Ott, M. McElvogue, A. Borazanci, M. Robers, R. Dortch, A. Stokes Barrow Neurological Institute, Phoenix, United States Impact: These differences suggest microvascular abnormalities in NAWM, potentially contrasting with the stable metrics seen in lesion areas or healthy controls.These findings underscore the reliability of DSC-based perfusion MRI and its utility in tracking hemodynamic changes in MS.
		Computer Number: 8 1665. Cardiac T1-mapping using Open-MOLLI at 3T: a repeatability study View Presentation Video A. Gaspar, T. Küstner, M. Schwartz, T. Correia, R. Nunes Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal Impact: The open-source myocardial T1 mapping (Open-MOLLI) was tested at 3.0T for repeatability with similar results to previous works at 1.5 T. This work shows that this sequence can be easily applied in inter-scanner reproducibility studies.
		Computer Number: 9 1666. Accuracy and precision of R2* and fat-specific R1 from multiparametric relaxation mapping in fat-water mixtures View Presentation Video N. Panov, R-C Bider, V. Fortier, I. Levesque, J. Campos Pazmino McGill University, Montreal, Canada Impact: We determined that the single-R₂* assumption has negligible effects on R_1f precision and accuracy while enabling robust and precise estimation of R₂_observed. Thus, the single-R₂ assumption is a preferable alternative to the dual-R₂* assumption.
		Computer Number: 10 1667. Reducing Protocol Variability Enhances Predictive Performance of Breast MRI Biomarkers in a Multicenter Clinical Trial View Presentation Video P. Metanat, N. Onishi, W. Li, J. Gibbs, L. Wilmes, N. Le, M. Gibbons, T. Bareng, M. Watkins, E. Price, B. Joe, J. Kornak, C. Yau, D. Wolf, M. Magbanua, B. LeStage, I. Imaging Working Group, I. Investigator Network, J. Perlmutter, D. Yee, W. Symmans, H. Rugo, C. Isaacs, R. Shatsky, A. DeMichelle, L. van 't Veer, L. Esserman, N. Hylton University of California, San Francisco, San Francisco, United States Impact: Enforcing stricter adherence to MRI protocol improved FTV’s predictive accuracy for identifying pathological complete response (pCR) in breast cancer neoadjuvant therapy, increasing reliability and data consistency within the I-SPY 2 trial’s multicenter framework.
		Computer Number: 11 1668. Cross-vendor repeatability and reproducibility of quantitative MRI for prostate cancer applications View Presentation Video U. Yang, P. Bolan, S. Noworolski, G. Metzger University of Minnesota, Minneapolis, United States Impact: This work demonstrates initial results at characterizing repeatability and reproducibility of quantitative MRI (qMRI) across vendors and sites, a critical step needed to harmonize results prior to evaluating their use in developed computer-aided diagnostic tools for prostate cancer.
		Computer Number: 12 1669. Longitudinal Validation of Quantitative T1 MRI Measurements: A Six-Year Multi-Site Analysis Using the ISMRM/NIST Reference System View Presentation Video J. Martinez, A. McCann, J. Sharp, C. McGrath, K. Keenan National Institute of Standards and Technology (NIST), Boulder, United States Impact: This study demonstrates that standardized T1 relaxometry protocols yield consistent and reproducible measurements of the ISMRM/NIST phantom across multiple MRI centers over six years, supporting the clinical applicability of quantitative MRI for multi-center disease monitoring and treatment evaluation.
		Computer Number: 13 1670. Towards clinic-ready relaxometry with MR-STAT: multi-site repeatability, motion detection and integration in the clinical data workflow View Presentation Video E. Versteeg, O. van der Heide, F. Ghielmetti, M. Lancione, M. Tosetti, L. Biagi, M. Cencini, A. Nigri, D. Aquino, C. van den Berg, A. Sbrizzi University Medical Center Utrecht, Utrecht, Netherlands Impact: This work shows that quantitative MRI (MR-STAT) yields repeatable results and can be incorporated in a clinical data workflow by using a DICOM-based reconstruction and automatic motion detection.
		Computer Number: 14 1671. A T1-independent sequence enables accurate quantitative proton density mapping from standard MRI protocols in human brain View Presentation Video K. Jalali, P. Seres, A. Wilman University of Alberta, Edmonton, Canada Impact: A rapid (20 s) T1-independent MRI sequence allows quantification of accurate CSF-referenced brain water content when combined with common protocols, enabling an additional quantitative parameter for examining MS disease progression.
		Computer Number: 15 1672. Combined Quantitative Fat and Stiffness Phantom for Simultaneous CSE-MRI and MRE Quality Assurance of Steatotic Liver Disease View Presentation Video D. Rutkowski, R. do Vale Souza, J. Guerrero-González, J. Kammerman, R. Moskwa, M. Urban, P. Rossman, K. Pepin, J. Heilman, D. Hernando, S. Reeder, J. Brittain Calimetrix, LLC, Madison, United States Impact: A quantitative three-compartment fat/stiffness phantom was developed and optimized to address the need for standardized quality assurance of quantitative MRI biomarkers of steatotic liver disease.
		Computer Number: 16 1673. The variability of mean ADC measurements with simultaneous multi-slice imaging in a NIST/QIBA diffusion phantom. View Presentation Video M. Marzetti, Y. Wang, I. Teh, P. Duce, S. Boyd, T. Karaulanov, G. Bourke, R. Wade Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom Impact: Using SMS factors of 2 has the potential to speed up MRI DWI acquisitions without biasing ADC, improving patient experience and throughput while reducing motion artefacts. However, higher SMS factors may be unreliable, particularly at higher ADC values.

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