2025 ISMRM and ISMRT Annual Meeting and Exhibition
1 May 2025 – 7 May 2025 · Honolulu, HI, United States of America
1652 ISMRM Abstract

Characterizing differences between white and gray matter T1W-based segmentations at 0.6T and 1.5T

1652 · Mid-Field Applications · Monday, 12 May, 9:15 AM–10:15 AM · Exhibition Hall
Keywords: Brain Neurodegeneration Screening Biomarkers Low-Field MRI Low-field Segmentations
Accepted
Navid Jabarimani 1,2, Ece Ercan3, Yiming Dong1, Nicola Pezzotti4, Andrew Webb1, Peter Börnert1,5, Marius Staring2, Matthias van Osch1, Martijn Nagtegaal1
1C.J. Gorter MRI Center, Radiology, Leiden University Medical Center, Leiden, Netherlands
2Division of Image Processing, Radiology, Leiden University Medical Center, Leiden, Netherlands
3MR Clinical Science, Best, Netherlands
4Philips Cardiologs, Paris, France
5Philips Innovative Technologies, Hamburg, Germany
Presenting Author: Navid Jabarimani
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References

1. Lavrova, A. et al. Quality assessment of routine brain imaging at 0.55 T: initial experience in a clinical workflow. NMR in Biomedicine 37, e5017 (2024). https://doi.org:10.1002/nbm.5017 2. Campbell-Washburn, A. E. et al. Opportunities in Interventional and Diagnostic Imaging by Using High-Performance Low-Field-Strength MRI. Radiology 293, 384-393 (2019). https://doi.org:10.1148/radiol.2019190452 3. Arnold, T. C., Freeman, C. W., Litt, B. & Stein, J. M. Low-field MRI: Clinical promise and challenges. J Magn Reson Imaging 57, 25-44 (2023). https://doi.org:10.1002/jmri.28408 4. Rajapakse, J. C., Giedd, J. N. & Rapoport, J. L. Statistical approach to segmentation of single-channel cerebral MR images. IEEE Trans. Med. Imaging 16, 176-186 (1997). https://doi.org:10.1109/42.563663 5. Tohka, J., Zijdenbos, A. & Evans, A. Fast and robust parameter estimation for statistical partial volume models in brain MRI. NeuroImage 23, 84-97 (2004). https://doi.org:https://doi.org/10.1016/j.neuroimage.2004.05.007 6. Gaser, C. et al. CAT: a computational anatomy toolbox for the analysis of structural MRI data. GigaScience 13 (2024). https://doi.org:10.1093/gigascience/giae049 7. Dahnke, R., Yotter, R. A. & Gaser, C. Cortical thickness and central surface estimation. NeuroImage 65, 336-348 (2013). https://doi.org:https://doi.org/10.1016/j.neuroimage.2012.09.050 8. Buchanan, C. R. et al. Comparison of structural MRI brain measures between 1.5 and 3 T: Data from the Lothian Birth Cohort 1936. Hum Brain Mapp 42, 3905-3921 (2021). https://doi.org:10.1002/hbm.25473

Cite this abstract

http://echo.ismrm.org/p/ISMRM2025/1652