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三维超短回波时间成像与三分量分析用于人类皮质骨。

Three-dimensional ultrashort echo time imaging with tricomponent analysis for human cortical bone.

机构信息

Department of Radiology, University of California San Diego, San Diego, California.

Institute of Electrical Engineering, Chinese Academy of Science, Beijing, China.

出版信息

Magn Reson Med. 2019 Jul;82(1):348-355. doi: 10.1002/mrm.27718. Epub 2019 Mar 7.

Abstract

PURPOSE

To investigate tricomponent analysis of human cortical bone using a multipeak fat signal model with 3D ultrashort TE Cones sequences on a clinical 3T scanner.

METHODS

Tricomponent fitting of bound water, pore water, and fat content using a multipeak fat spectra model was proposed for 3D ultrashort TE imaging of cortical bone. Three-dimensional ultrashort TE Cones acquisitions combined with tricomponent analysis were used to investigate bound and pore water and fractions, as well as fat and fraction in cortical bone. Feasibility studies were performed on 9 human cortical bone specimens with regions of interest selected from the endosteum to the periosteum in 4 circumferential regions. Microcomputed tomography studies were performed to measure bone porosity and bone mineral density for comparison and validation of the bound and pore water analyses.

RESULTS

The oscillation of the signal decay was well-fitted with the proposed tricomponent model. The sum of the pore water and fat fractions from tricomponent analysis showed a high correlation with microcomputed tomography porosity (R = 0.74, P < 0.01). Estimated bound-water fraction also demonstrated a high correlation with bone mineral density (R = 0.70, P < 0.01).

CONCLUSION

Tricomponent analysis significantly improves the estimation of bound-water and pore-water fractions in human cortical bone.

摘要

目的

利用三维超短回波时间(TE)锥形序列的多峰脂肪信号模型,研究人类皮质骨的三组分分析。

方法

针对皮质骨的三维超短 TE 成像,提出了使用多峰脂肪谱模型对结合水、孔内水和脂肪含量进行三组分拟合的方法。采用三维超短 TE 锥形采集与三组分分析相结合的方法,研究皮质骨中的结合水和孔内水及分数,以及脂肪和分数。在 4 个周向区域内,从骨内膜到骨外膜选择感兴趣区,对 9 个人类皮质骨标本进行了可行性研究。进行了微计算机断层扫描研究,以测量骨孔隙率并对结合水和孔内水分析进行比较和验证。

结果

信号衰减的振荡与所提出的三组分模型拟合良好。三组分分析得出的孔内水和脂肪分数之和与微计算机断层扫描孔隙率具有高度相关性(R=0.74,P<0.01)。估算的结合水分数与骨矿物质密度也具有高度相关性(R=0.70,P<0.01)。

结论

三组分分析可显著提高对人类皮质骨中结合水和孔内水分数的估计。

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