2022 Joint Annual Meeting ISMRM-ESMRMB and ISMRT 31st Annual Meeting
7 May 2022 – 15 May 2022 · London, United Kingdom
2465 ISMRM Abstract

QALAS + QSM: Efficient Multi-parameter Mapping Allows Disentangling Para- and Dia-magnetic Contributions in Brain Tissue

Accepted
Hyeong-Geol Shin 1, Jingjia Chen2, Jongho Lee1, Tae Hyung Kim3, Jaejin Cho3, Gabriel Varela-Mattatall3, Borjan Gagoski4, Chunlei Liu2, Berkin Bilgic3
1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of
2Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, United States of America
3Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, United States of America
4Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, United States of America
Presenting Author: Hyeong-Geol Shin
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here.

This content is freely available and no longer restricted to registered attendees. Log in or create a free account to view it.

Log in

References

1. Weiskopf N, Edwards LJ, Helms G, Mohammadi S, Kirilina E. Quantitative magnetic resonance imaging of brain anatomy and in vivo histology. Nature Reviews Physics 2021;3:570–588.
2. Hamilton-Craig CR, Strudwick MW, Galloway GJ. T1 Mapping for Myocardial Fibrosis by Cardiac Magnetic Resonance Relaxometry—A Comprehensive Technical Review. Frontiers in Cardiovascular Medicine 2017;3:49.
3. MacKay AL, Vavasour IM, Rauscher A, et al. MR relaxation in multiple sclerosis. Neuroimaging Clin. N. Am. 2009;19:1–26.
4. Liao C, Wang K, Cao X, et al. Detection of Lesions in Mesial Temporal Lobe Epilepsy by Using MR Fingerprinting. Radiology 2018;288:804–812.
5. Recht MP, Resnick D. Magnetic resonance imaging of articular cartilage: an overview. Top. Magn. Reson. Imaging 1998;9:328–336.
6. Ma D, Jones SE, Deshmane A, et al. Development of high-resolution 3D MR fingerprinting for detection and characterization of epileptic lesions. J. Magn. Reson. Imaging 2019;49:1333–1346.
7. Shin H-G, Lee J, Yun YH, et al. χ-separation: Magnetic susceptibility source separation toward iron and myelin mapping in the brain. Neuroimage 2021;240:118371.
8. Chen J, Gong N-J, Chaim KT, Otaduy MCG, Liu C. Decompose quantitative susceptibility mapping (QSM) to sub-voxel diamagnetic and paramagnetic components based on gradient-echo MRI data. Neuroimage 2021;242:118477.
9. Emmerich J, Bachert P, Ladd ME, Straub S. On the separation of susceptibility sources in quantitative susceptibility mapping: Theory and phantom validation with an in vivo application to multiple sclerosis lesions of different age. Journal of Magnetic Resonance 2021;330:107033 doi: 10.1016/j.jmr.2021.107033. [doi]
10. Kvernby S, Warntjes MJB, Haraldsson H, Carlhäll C-J, Engvall J, Ebbers T. Simultaneous three-dimensional myocardial T1 and T2 mapping in one breath hold with 3D-QALAS. J. Cardiovasc. Magn. Reson. 2014;16:102.
11. Fujita S, Hagiwara A, Hori M, et al. Three-dimensional high-resolution simultaneous quantitative mapping of the whole brain with 3D-QALAS: An accuracy and repeatability study. Magn. Reson. Imaging 2019;63:235–243.
12. Mugler JP, Brookeman JR. Three-dimensional magnetization-prepared rapid gradient-echo imaging (3D MP RAGE). Magnetic Resonance in Medicine 1990;15:152–157 doi: 10.1002/mrm.1910150117. [doi]
13. Mugler JP 3rd. Optimized three-dimensional fast-spin-echo MRI. J. Magn. Reson. Imaging 2014;39:745–767.
14. Haacke EM, Xu Y, Cheng Y-CN, Reichenbach JR. Susceptibility weighted imaging (SWI). Magn. Reson. Med. 2004;52:612–618.
15. Li W, Wu B, Liu C. Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition. Neuroimage 2011;55:1645–1656.
16. Schweser F, Deistung A, Lehr BW, Reichenbach JR. Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: an approach to in vivo brain iron metabolism? Neuroimage 2011;54:2789–2807.
17. Wu B, Li W, Guidon A, Liu C. Whole brain susceptibility mapping using compressed sensing. Magn. Reson. Med. 2012;67:137–147.
18. de Rochefort L, Liu T, Kressler B, et al. Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: validation and application to brain imaging. Magn. Reson. Med. 2010;63:194–206.
19. Liu J, Liu T, de Rochefort L, et al. Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map. Neuroimage 2012;59:2560–2568.
20. Griswold MA, Jakob PM, Heidemann RM, et al. Generalized autocalibrating partially parallel acquisitions (GRAPPA). Magn. Reson. Med. 2002;47:1202–1210.
21. Wei H, Dibb R, Zhou Y, et al. Streaking artifact reduction for quantitative susceptibility mapping of sources with large dynamic range. NMR Biomed. 2015;28:1294–1303.

Cite this abstract