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两家供应商在两种场强下脑部定量磁化率成像的可重复性。

Reproducibility of quantitative susceptibility mapping in the brain at two field strengths from two vendors.

作者信息

Deh Kofi, Nguyen Thanh D, Eskreis-Winkler Sarah, Prince Martin R, Spincemaille Pascal, Gauthier Susan, Kovanlikaya Ilhami, Zhang Yan, Wang Yi

机构信息

Department of Radiology, Weill Cornell Medical College, New York, New York, USA.

出版信息

J Magn Reson Imaging. 2015 Dec;42(6):1592-600. doi: 10.1002/jmri.24943. Epub 2015 May 9.

Abstract

PURPOSE

To assess the reproducibility of brain quantitative susceptibility mapping (QSM) in healthy subjects and in patients with multiple sclerosis (MS) on 1.5 and 3T scanners from two vendors.

MATERIALS AND METHODS

Ten healthy volunteers and 10 patients were scanned twice on a 3T scanner from one vendor. The healthy volunteers were also scanned on a 1.5T scanner from the same vendor and on a 3T scanner from a second vendor. Similar imaging parameters were used for all scans. QSM images were reconstructed using a recently developed nonlinear morphology-enabled dipole inversion (MEDI) algorithm with L1 regularization. Region-of-interest (ROI) measurements were obtained for 20 major brain structures. Reproducibility was evaluated with voxel-wise and ROI-based Bland-Altman plots and linear correlation analysis.

RESULTS

ROI-based QSM measurements showed excellent correlation between all repeated scans (correlation coefficient R ≥ 0.97), with a mean difference of less than 1.24 ppb (healthy subjects) and 4.15 ppb (patients), and 95% limits of agreements of within -25.5 to 25.0 ppb (healthy subjects) and -35.8 to 27.6 ppb (patients). Voxel-based QSM measurements had a good correlation (0.64 ≤ R ≤ 0.88) and limits of agreements of -60 to 60 ppb or less.

CONCLUSION

Brain QSM measurements have good interscanner and same-scanner reproducibility for healthy and MS subjects, respectively, on the systems evaluated in this study.

摘要

目的

评估在来自两家供应商的1.5T和3T扫描仪上,健康受试者和多发性硬化症(MS)患者脑定量磁化率成像(QSM)的可重复性。

材料与方法

10名健康志愿者和10名患者在一家供应商的3T扫描仪上进行了两次扫描。健康志愿者还在同一家供应商的1.5T扫描仪以及另一家供应商的3T扫描仪上进行了扫描。所有扫描均使用相似的成像参数。使用最近开发的具有L1正则化的非线性形态学启用偶极子反演(MEDI)算法重建QSM图像。对20个主要脑结构进行感兴趣区域(ROI)测量。通过体素级和基于ROI的布兰德-奥特曼图以及线性相关分析评估可重复性。

结果

基于ROI的QSM测量显示,所有重复扫描之间具有极好的相关性(相关系数R≥0.97),健康受试者的平均差异小于1.24 ppb,患者的平均差异小于4.15 ppb,健康受试者的95%一致性界限在-25.5至25.0 ppb之间,患者的95%一致性界限在-35.8至27.6 ppb之间。基于体素的QSM测量具有良好的相关性(0.64≤R≤0.88),一致性界限在-60至60 ppb或更小范围内。

结论

在本研究评估的系统上,脑QSM测量对于健康受试者和MS患者分别具有良好的不同扫描仪间和同一扫描仪内的可重复性。

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本文引用的文献

1
Quantitative susceptibility mapping of human brain at 3T: a multisite reproducibility study.
AJNR Am J Neuroradiol. 2015 Mar;36(3):467-74. doi: 10.3174/ajnr.A4137. Epub 2014 Oct 22.
2
Susceptibility mapping of air, bone, and calcium in the head.
Magn Reson Med. 2015 Jun;73(6):2185-94. doi: 10.1002/mrm.25350. Epub 2014 Jul 7.
3
Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker.
Magn Reson Med. 2015 Jan;73(1):82-101. doi: 10.1002/mrm.25358. Epub 2014 Jul 17.
4
Joint estimation of chemical shift and quantitative susceptibility mapping (chemical QSM).
Magn Reson Med. 2015 Jun;73(6):2100-10. doi: 10.1002/mrm.25328. Epub 2014 Jun 19.
5
Quantitative susceptibility mapping using single-shot echo-planar imaging.
Magn Reson Med. 2015 May;73(5):1932-8. doi: 10.1002/mrm.25316. Epub 2014 Jun 17.
6
Quantification of cerebral perfusion using dynamic quantitative susceptibility mapping.
Magn Reson Med. 2015 Apr;73(4):1540-8. doi: 10.1002/mrm.25257. Epub 2014 Apr 14.
7
8
Quantitative susceptibility mapping of multiple sclerosis lesions at various ages.
Radiology. 2014 Apr;271(1):183-92. doi: 10.1148/radiol.13130353. Epub 2013 Nov 18.
9
Background field removal by solving the Laplacian boundary value problem.
NMR Biomed. 2014 Mar;27(3):312-9. doi: 10.1002/nbm.3064. Epub 2014 Jan 7.
10
Fast quantitative susceptibility mapping with L1-regularization and automatic parameter selection.
Magn Reson Med. 2014 Nov;72(5):1444-59. doi: 10.1002/mrm.25029. Epub 2013 Nov 20.

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