Belal TAVASHI 1, Leen HAKKI2, Esin Ozturk Isik2,3, Pinar S Özbay1,2
1Boğaziçi University Institute of Biomedical Engineering, Istanbul, Turkey
2Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey
3Brain Tumor Research Group, Acibadem University, Istanbul, Turkey
Presenting Author: Belal TAVASHI
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.
1. A. Gozt, S. Hellewell, P. G. D. Ward, M. Bynevelt, and M. Fitzgerald, “Emerging Applications for Quantitative Susceptibility Mapping in the Detection of Traumatic Brain Injury Pathology,” Neuroscience, vol. 467, pp. 218–236, July 2021, doi: 10.1016/j.neuroscience.2021.05.030. [doi]
2. F. Yan, N. He, and E. M. Haacke, “Editorial: Quantitative Susceptibility Mapping in Neurodegeneration,” Front. Neurosci., vol. 15, p. 724550, July 2021, doi: 10.3389/fnins.2021.724550. [doi]
3. C. Liu, W. Li, K. A. Tong, K. W. Yeom, and S. Kuzminski, “Susceptibility-Weighted Imaging and Quantitative Susceptibility Mapping in the Brain,” J. Magn. Reson. Imaging JMRI, vol. 42, no. 1, pp. 23–41, July 2015, doi: 10.1002/jmri.24768. [doi]
4. S. Wharton and R. Bowtell, “Effects of white matter microstructure on phase and susceptibility maps,” Magn. Reson. Med., vol. 73, no. 3, pp. 1258–1269, Mar. 2015, doi: 10.1002/mrm.25189. [doi]
5. J. P. Marques et al., “QSM reconstruction challenge 2.0: A realistic in silico head phantom for MRI data simulation and evaluation of susceptibility mapping procedures,” Magn. Reson. Med., vol. 86, no. 1, pp. 526–542, 2021, doi: 10.1002/mrm.28716. [doi]
6. T. Jochmann et al., “Quantitative susceptibility mapping in magnetically inhomogeneous tissues,” Magn. Reson. Med., vol. n/a, no. n/a, doi: 10.1002/mrm.30537. [doi]
7. G. A. Johnson et al., “A multicontrast MR atlas of the Wistar rat brain,” NeuroImage, vol. 242, p. 118470, Nov. 2021, doi: 10.1016/j.neuroimage.2021.118470. [doi]
8. P. S. Özbay, A. Deistung, X. Feng, D. Nanz, J. R. Reichenbach, and F. Schweser, “A comprehensive numerical analysis of background phase correction with V-SHARP,” NMR Biomed., vol. 30, no. 4, Apr. 2017, doi: 10.1002/nbm.3550. [doi]
9. S. Wharton, A. Schäfer, and R. Bowtell, “Susceptibility mapping in the human brain using threshold-based k-space division,” Magn. Reson. Med., vol. 63, no. 5, pp. 1292–1304, 2010, doi: 10.1002/mrm.22334. [doi]
10. W. Li, B. Wu, and C. Liu, “Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition,” NeuroImage, vol. 55, no. 4, pp. 1645–1656, Apr. 2011, doi: 10.1016/j.neuroimage.2010.11.088. [doi]
11. H. Wei et al., “Streaking Artifact Reduction for Quantitative Susceptibility Mapping of Sources with Large Dynamic Range,” NMR Biomed., vol. 28, no. 10, p. 1294, Aug. 2015, doi: 10.1002/nbm.3383. [doi]
12. C. Milovic, C. Tejos, J. Silva, K. Shmueli, and P. Irarrazaval, “XSIM: A structural similarity index measure optimized for MRI QSM,” Magn. Reson. Med., vol. 93, no. 1, pp. 411–421, 2025, doi: 10.1002/mrm.30271. [doi]