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本文引用的文献

1
Validation of liver quantitative susceptibility mapping across imaging parameters at 1.5 T and 3.0 T using SQUID susceptometry as reference.采用超导量子干涉仪(SQUID)磁强计作为参考,验证 1.5T 和 3.0T 成像参数下的肝脏定量磁化率映射的准确性。
Magn Reson Med. 2023 Apr;89(4):1418-1428. doi: 10.1002/mrm.29529. Epub 2022 Nov 21.
2
Deep Learning-Based Water-Fat Separation from Dual-Echo Chemical Shift-Encoded Imaging.基于深度学习的双回波化学位移编码成像水脂分离
Bioengineering (Basel). 2022 Oct 19;9(10):579. doi: 10.3390/bioengineering9100579.
3
Quantifying calcium changes in the fetal spine using quantitative susceptibility mapping as extracted from STAGE imaging.利用 STAGE 成像提取定量磁化率映射技术定量胎儿脊柱钙变化。
Eur Radiol. 2023 Jan;33(1):606-614. doi: 10.1007/s00330-022-09042-5. Epub 2022 Aug 31.
4
Early differentiation of neurodegenerative diseases using the novel QSM technique: what is the biomarker of each disorder?使用新型 QSM 技术早期鉴别神经退行性疾病:每种疾病的生物标志物是什么?
BMC Neurosci. 2022 Jul 28;23(1):48. doi: 10.1186/s12868-022-00725-9.
5
Deep learning-based quantitative susceptibility mapping (QSM) in the presence of fat using synthetically generated multi-echo phase training data.基于深度学习的定量磁化率映射(QSM)在存在脂肪的情况下使用合成生成的多回波相位训练数据。
Magn Reson Med. 2022 Oct;88(4):1548-1560. doi: 10.1002/mrm.29265. Epub 2022 Jun 17.
6
Susceptibility source separation from gradient echo data using magnitude decay modeling.使用幅度衰减建模从梯度回波数据中分离易感性源。
J Neuroimaging. 2022 Sep;32(5):852-859. doi: 10.1111/jon.13014. Epub 2022 Jun 6.
7
Quantitative Susceptibility Mapping: Basic Methods and Clinical Applications.定量磁敏感图:基本方法及临床应用
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8
Simultaneous Quantitative Susceptibility Mapping of Articular Cartilage and Cortical Bone of Human Knee Joint Using Ultrashort Echo Time Sequences.采用超短回波时间序列对人膝关节关节软骨和皮质骨进行同时定量磁化率映射。
Front Endocrinol (Lausanne). 2022 Feb 22;13:844351. doi: 10.3389/fendo.2022.844351. eCollection 2022.
9
Ultrafast water-fat separation using deep learning-based single-shot MRI.使用基于深度学习的单次MRI进行超快速水脂分离。
Magn Reson Med. 2022 Jun;87(6):2811-2825. doi: 10.1002/mrm.29172. Epub 2022 Jan 31.
10
Cancer statistics, 2022.癌症统计数据,2022 年。
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全身定量磁化率(QSM)

QSM Throughout the Body.

机构信息

Department of Radiology, Weill Cornell Medicine, New York, New York, USA.

Department of Radiology, Mayo Clinic, Jacksonville, Florida, USA.

出版信息

J Magn Reson Imaging. 2023 Jun;57(6):1621-1640. doi: 10.1002/jmri.28624. Epub 2023 Feb 7.

DOI:10.1002/jmri.28624
PMID:36748806
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10192074/
Abstract

Magnetic materials in tissue, such as iron, calcium, or collagen, can be studied using quantitative susceptibility mapping (QSM). To date, QSM has been overwhelmingly applied in the brain, but is increasingly utilized outside the brain. QSM relies on the effect of tissue magnetic susceptibility sources on the MR signal phase obtained with gradient echo sequence. However, in the body, the chemical shift of fat present within the region of interest contributes to the MR signal phase as well. Therefore, correcting for the chemical shift effect by means of water-fat separation is essential for body QSM. By employing techniques to compensate for cardiac and respiratory motion artifacts, body QSM has been applied to study liver iron and fibrosis, heart chamber blood and placenta oxygenation, myocardial hemorrhage, atherosclerotic plaque, cartilage, bone, prostate, breast calcification, and kidney stone.

摘要

组织中的磁性物质,如铁、钙或胶原,可以使用定量磁化率映射(QSM)进行研究。迄今为止,QSM 已经在大脑中得到了广泛应用,但在大脑外的应用也越来越多。QSM 依赖于组织磁化率源对梯度回波序列获得的 MR 信号相位的影响。然而,在体内,感兴趣区域内存在的脂肪的化学位移也会对 MR 信号相位产生影响。因此,通过水脂分离来校正化学位移效应对于体 QSM 至关重要。通过采用补偿心脏和呼吸运动伪影的技术,体 QSM 已应用于研究肝脏铁和纤维化、心脏腔室血液和胎盘氧合、心肌出血、动脉粥样硬化斑块、软骨、骨骼、前列腺、乳腺钙化和肾结石。