Validation of deep-learning accelerated quantitative susceptibility mapping for deep brain nuclei by Ying Zhou, Ying Zhou, Lingyun Liu, Shan Xu, Yongquan Ye, Ruiting Zhang, Minming Zhang, Jianzhong Sun, Peiyu Huang

Subjects: “…quantitative susceptibility mapping…”
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Comparison of Phase Estimation Methods for Quantitative Susceptibility Mapping Using a Rotating-Tube Phantom by Kathryn E. Keenan, Ben P. Berman, Slávka Rýger, Stephen E. Russek, Wen-Tung Wang, John A. Butman, Dzung L. Pham, Joseph Dagher

“…Quantitative Susceptibility Mapping (QSM) is an MRI tool with the potential to reveal pathological changes from magnetic susceptibility measurements. …”
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Brain iron deposition and cognitive decline in patients with cerebral small vessel disease : a quantitative susceptibility mapping study by Yian Gao, Changhu Liang, Qihao Zhang, Hangwei Zhuang, Chaofan Sui, Nan Zhang, Mengmeng Feng, Haotian Xin, Lingfei Guo, Yi Wang

Subjects: “…Quantitative susceptibility mapping…”
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Relationship between cognitive impairment and hippocampal iron overload: A quantitative susceptibility mapping study of a rat model by Xi Deng, Meiru Bu, Jiali Liang, Yihao Sun, Liyan Li, Heishu Zheng, Zisan Zeng, Muliang Jiang, Bihong T. Chen

Subjects: “…Quantitative susceptibility mapping…”
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Brain Iron Deposition Alterations in Type 2 Diabetes Mellitus Patients With Mild Cognitive Impairment Based on Quantitative Susceptibility Mapping by Qiuyue Zhao, Subinuer Maimaitiaili, Yan Bi, Ming Li, Xin Li, Qian Li, Xinyi Shen, Min Wu, Linqing Fu, Zhengyang Zhu, Xin Zhang, Jiu Chen, Anning Hu, Zhou Zhang, Wen Zhang, Bing Zhang

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Association between deep gray matter iron deposition and clinical symptoms in Parkinson’s disease: a quantitative susceptibility mapping study by Hui Zhao, Hui Zhao, Qiu-Hong Ji, Zhong-Zheng Jia, Li-Hua Shen

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Structural and iron content changes in subcortical vascular mild cognitive impairment: a combined voxel-based morphometry and quantitative susceptibility mapping study by Yushuang Liu, Yingqi Lu, Liyu Hu, Jinping Xu, Xingchen Liu, Nan Yang, Shangjie Chen, Zhongling Zhang

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Quantitative Assessment of Deep Gray Matter Susceptibility and Correlation With Cognition in Patients With Liver Cirrhosis by Wenjun Wu, Yu Su, Ziji Qin, Jiamin Kang, Dongqiao Xiang, Dingxi Liu, Chuansheng Zheng, E. Mark Haacke, Lixia Wang

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Magnetic susceptibility components reveal different aspects of neurodegeneration in alpha-synucleinopathies by Oliver C. Kiersnowski, Pietro Mattioli, Lucia Argenti, Laura Avanzino, Francesco Calizzano, Andrea Diociasi, Laura Falcitano, Chunlei Liu, Mattia Losa, Federico Massa, Silvia Morbelli, Beatrice Orso, Elisa Pelosin, Stefano Raffa, Matteo Pardini, Dario Arnaldi, Luca Roccatagliata, Mauro Costagli

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Multimodal magnetic resonance imaging studies on non-motor symptoms of Parkinson's disease by Weimin Qi, Xiaoyan Niu, Xiuping Zhan, Yazhou Ren, Jianhang He, Jianxia Li, Xiaolin Hou, Haining Li

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In-vivo high-resolution χ-separation at 7T by Jiye Kim, Minjun Kim, Sooyeon Ji, Kyeongseon Min, Hwihun Jeong, Hyeong-Geol Shin, Chungseok Oh, Robert J. Fox, Ken E. Sakaie, Mark J. Lowe, Se-Hong Oh, Sina Straub, Seong-Gi Kim, Jongho Lee

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Multimodal Magnetic Resonance Findings in Parkinson’s Disease With “Antecedent Essential Tremor”: A Case Series of a Large Kindred by Kong Y, Yao L, Xiao X, Chen A, Wang K, Yan H, Sun R, Liu R, Kong Q

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MRI-Based Quantification of Magnetic Susceptibility in Gel Phantoms: Assessment of Measurement and Calculation Accuracy by Emma Olsson, Ronnie Wirestam, Emelie Lind

“…In this study, the accuracy of an established procedure for quantitative susceptibility mapping (QSM) was investigated. Three gel phantoms were constructed with cylinders of varying susceptibility and geometry. …”
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MRI Volume Fusion Based on 3D Shearlet Decompositions by Chang Duan, Shuai Wang, Xue Gang Wang, Qi Hong Huang

“…And this method is evaluated upon MRI T2* and quantitative susceptibility mapping data of 4 human brains. Both the perspective impression and the quality indices indicate that the proposed method has a better performance than conventional 2D wavelet, DT CWT, and 3D wavelet, DT CWT based fusion methods.…”
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Novel Pattern of Iron Deposition in the Fascicula Nigrale in Patients with Parkinson’s Disease: A Pilot Study by Miriam E. Peckham, Khashayar Dashtipour, Barbara A. Holshouser, Camellia Kani, Alex Boscanin, Kayvan Kani, Sheri L. Harder

“…To determine whether the pattern of iron deposition in the fascicula nigrale in patients with Parkinson’s disease would be different from age-matched controls by utilizing quantitative susceptibility mapping to measure susceptibility change. …”
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Iron deposition is associated with motor and non-motor network breakdown in parkinsonism by Fangda Leng, Yue Gao, Fan Li, Luhua Wei, Yunchuang Sun, Fang Liu, Ying Zhu, Jianxing Qiu, Zhaoxia Wang, Yiwei Zhang

“…T1-weighted, susceptibility weighted images and resting-state functional MRI (rs-fMRI) were acquired. Quantitative susceptibility mapping (QSM) analysis was performed to quantify iron deposition in substantia nigra, putamen and dentate nucleus. …”
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Compensatory increase in oxygen extraction fraction is associated with age-related cerebrovascular disease by John McFadden, Julian Matthews, Lauren Scott, Karl Herholz, Ben Dickie, Hamied Haroon, Oliver Sparasci, Saadat Ahmed, Natalia Kyrtata, Geoffrey J.M. Parker, Hedley C.A. Emsley, Joel Handley, Maélène Lohezic, Laura M. Parkes

“…These findings demonstrate the potential use of multi-delay time ASL and Quantitative Susceptibility Mapping for the early detection of cerebrovascular changes and provide evidence for compensatory increases in oxygen extraction in the presence of reduced blood flow.…”
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