Quantitative susceptibility mapping (QSM) provides a non-invasive way to measure the spatial distribution of magnetic susceptibility. In brain tissue, the susceptibility can originate from several biomaterials and molecules such as iron, myelin, calcium, deoxyhemoglobin, etc. The state and concentration of these molecules may change with brain developmental and aging processes or the pathological processes of neurodegenerative diseases, e.g., Parkinson’s disease, Alzheimer's disease, multiple sclerosis. Furthermore, QSM improves the visualization of deep gray matters, showing the potential to accurately brain segmentation and helpful for atlas construction. Additionally, the applications of QSM outside the brain are also introduced.
[1] Liu et al. Susceptibility-Weighted Imaging and Quantitative Susceptibility Mapping in the Brain: Brain Susceptibility Imaging and Mapping. J. Magn. Reson. Imaging 2015, 42 (1), 23–41.
[2] Wang et al. Quantitative Susceptibility Mapping (QSM): Decoding MRI Data for a Tissue Magnetic Biomarker. Magn. Reson. Med. 2015, 73 (1), 82–101.
[3] Sheelakumari et al. Assessment of iron deposition in the brain in frontotemporal dementia and its correlation with behavioral traits. AJNR Am J Neuroradiol 2017; 38: 1953-1958.
[4] Eskreis-Winkler et al. The clinical utility of QSM: Disease diagnosis, medical management, and surgical planning. NMR Biomed 2017; 30.
[5] Thomas et al. Brain iron deposition is linked with cognitive severity in Parkinson's disease. J Neurol Neurosurg Psychiatry . 2020 Apr;91(4):418-425.
[6] Wang et al. Clinical quantitative susceptibility mapping (QSM): Biometal imaging and its emerging roles in patient care. J. Magn. Reson. Imag, 2017, 46, 951-97.
[7] Chen W et al. Quantitative susceptibility mapping of multiple sclerosis lesions at various ages. Radiology, 2014, 271 (1) 183-192.
[8] Cogswell et al. Associations of quantitative susceptibility mapping with Alzheimer's disease clinical and imaging markers. Neuroimage . 2021 Jan 1;224:117433.
[9] Lim et al. Human brain atlas for automated region of interest selection in quantitative susceptibility mapping: Application to determine iron content in deep gray matter structures. Neuroimage 2013; 82: 449-469.
[10] Zhang et al. Longitudinal atlas for normative human brain development and aging over the lifespan using quantitative susceptibility mapping. Neuroimage . 2018 May 1;171:176-189.
[11] Wei et al. Precise targeting of the globus pallidus internus with quantitative susceptibility mapping for deep brain stimulation surgery. J Neurosurg . 2019 Oct 11;1-7.
[12] Chen, J. et al. Decompose Quantitative Susceptibility Mapping (QSM) to Sub-Voxel Diamagnetic and Paramagnetic Components Based on Gradient-Echo MRI Data. NeuroImage 2021, 242, 118477.
[13] Shin et al. χ-separation: Magnetic susceptibility source separation toward iron and myelin mapping in the brain. Neuroimage. 2021 Oct 15;240:118371.
[14] Xie et al. Quantitative susceptibility mapping of kidney inflammation and fibrosis in type 1 angiotensin receptor-deficient mice. NMR Biomed. 2013 Dec;26(12):1853-63.
[15] Wei et al. Investigating magnetic susceptibility of human knee joint at 7 Tesla. Magn Reson Med. 2017 Nov;78(5):1933-1943.
[16] Wen et al. Cardiac quantitative susceptibility mapping (QSM) for heart chamber oxygenation. Magn Reson Med. 2018 Mar;79(3):1545-1552.
[17] Jafari et al. Rapid automated liver quantitative susceptibility mapping. J Magn Reson Imaging. 2019 Sep;50(3):725-732.
[18] Lin et al. Quantitative susceptibility mapping in combination with water-fat separation for simultaneous liver iron and fat fraction quantification. Eur Radiol. 2018 Aug;28(8):3494-3504.