Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
570-09-234 ISMRM Abstract

Whole brain T1, T2, PD & T2* quantification in 5 minutes with multi-echo MR-STAT

Primary: Acquisition & Reconstruction - Quantitative Imaging: relaxometry, multi-parametric, MR Fingerprinting, and synthetic MRI
Secondary: Contrast Mechanisms - Susceptibility/QSM
570-09-234 · Quantitative Imaging · Wednesday, 13 May, 4:00 PM–4:55 PM · Traditional Posters | Exhibition Hall
Keywords: SWI Quantitative MRI MR-STAT T2 star mapping
Accepted
Fei Xu1, Edwin Versteeg 1, Oscar van der Heide1, Jan Willem Dankbaar2, Martin B Schilder1, Cornelis A van den Berg1, Alessandro A Sbrizzi1
1Computational Imaging Group for MRI Therapy & Diagnostics, Department of Radiotherapy, UMC Utrecht, Utrecht, Netherlands
2Department of Radiology and Nuclear Medicine, UMC Utrecht, Utrecht, Netherlands
Presenting Author: Edwin Versteeg

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Weiskopf N, Edwards L J, Helms G, et al. Quantitative magnetic resonance imaging of brain anatomy and in vivo histology. Nature Reviews Physics, 2021, 3(8): 570-588. https://doi.org/10.1038/s42254-021-00326-1. [doi]
2. Caan M W A, Bazin P L, Marques J P, et al. MP2RAGEME: T1, T2*, and QSM mapping in one sequence at 7 tesla. Human brain. DOI: 10.1002/hbm.24490. [doi]
3. Stüber C, Morawski M, Schäfer A, et al. Myelin and iron concentration in the human brain: a quantitative study of MRI contrast. Neuroimage, 2014, 93: 95-106. DOI: 10.1016/j.neuroimage.2014.02.026. [doi]
4. Harkins K D, Xu J, Dula A N, et al. The microstructural correlates of T1 in white matter. Magnetic resonance in medicine, 2016, 75(3): 1341-1345. DOI: 10.1002/mrm.25709. [doi]
5. Deistung A, Schäfer A, Schweser F, et al. Toward in vivo histology: A comparison of quantitative susceptibility mapping (QSM) with magnitude-, phase-, and R2⁎-imaging at ultra-high magnetic field strength. Neuroimage, 2013, 65: 299-314. DOI: 10.1016/j.neuroimage.2012.09.055. [doi]
6. Waehnert M D, Dinse J, Schäfer A, et al. A subject-specific framework for in vivo myeloarchitectonic analysis using high resolution quantitative MRI. Neuroimage, 2016, 125: 94-107. DOI: 10.1016/j.neuroimage.2015.10.001. [doi]
7. Gracien R M, Maiworm M, Brüche N, et al. How stable is quantitative MRI?–Assessment of intra-and inter-scanner-model reproducibility using identical acquisition sequences and data analysis programs. Neuroimage, 2020, 207: 116364. DOI: 10.1016/j.neuroimage.2019.116364. [doi]
8. Sbrizzi A, Heide O van der, Cloos M, et al. Fast quantitative MRI as a nonlinear tomography problem. Magnetic resonance imaging, 2018, 46: 56–63. DOI: 10.1016/j.mri.2017.10.015. [doi]
9. Versteeg E, Liu H, van der Heide O, et al. Simultaneous multi-slice MR-STAT for robust high-resolution full-brain relaxometry. 3823, ISMRM, Singapore.
10. Fuderer M, van der Heide O, Liu H, et al. Efficient performance analysis and optimization of transient‐state sequences for multiparametric magnetic resonance imaging. NMR in Biomedicine, 2023, 36(3): e4864. DOI: 10.1002/nbm.4864. [doi]
11. Zahneisen B, Ernst T, Poser BA. SENSE and simultaneous multislice imaging. Magnetic resonance in medicine, 2015, 74: 1356–1362. DOI: 10.1002/mrm.25519. [doi]
12. Peters A M, Brookes M J, Hoogenraad F G, et al. T2* measurements in human brain at 1.5, 3 and 7 T. Magnetic resonance imaging, 2007, 25(6): 748-753. DOI: 10.1016/j.mri.2007.02.014. [doi]
13. Haacke E M, Xu Y, Cheng Y C, et al. Susceptibility weighted imaging (SWI). Magnetic resonance in medicine, 2004, 52: 612-18. DOI: 10.1002/mrm.20198. [doi]
14. Chan K S, Marques J P. SEPIA-Susceptibility mapping pipeline tool for phase images. Neuroimage. 2021, 227:117611. DOI: 10.1016/j.neuroimage.2020.117611. [doi]
15. Coupé P, Mansencal B, Clément M, et al. AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation. NeuroImage, 2020, 219: 117026. DOI: 10.1016/j.neuroimage.2020.117026. [doi]
16. Fuderer M, van der Heide O, Liu H, Berg CATV, Sbrizzi A. Water diffusion and T2 quantification in transient‐state MRI: the effect of RF pulse sequence. NMR in Biomedicine, 2023, 37(1): e5044. DOI: 10.1002/nbm.5044. [doi]
17. Choi J Y, Hu S, Su T Y, et al. Normative quantitative relaxation atlases for characterization of cortical regions using magnetic resonance fingerprinting. Cerebral Cortex, 2023, 33(7): 3562-3574. DOI: 10.1093/cercor/bhac292 [doi]
18. Xu F, Mandija S, Kleinloog J P D, et al. Improving the lesion appearance on FLAIR images synthetized from quantitative MRI: a fast, hybrid approach. Magnetic Resonance Materials in Physics, Biology and Medicine, 2024, 37(6): 1021-1030. DOI: 10.1007/s10334-024-01198-z. [doi]
19. Duan M, Pan R, Gao Q, et al. A rapid multi-parametric quantitative MR imaging method to assess Parkinson’s disease: a feasibility study. BMC Medical Imaging, 2024, 24(1): 58. DOI: 10.1186/s12880-024-01229-0. [doi]
20. Weerink L B M, Appelman A P A, Kloet R W, et al. Susceptibility-weighted imaging in intracranial hemorrhage: not all bleeds are black. The British journal of radiology, 2023, 96(1148): 20220304. DOI: 10.1259/bjr.20220304. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/570-09-234