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首页> 外文期刊>Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine >Simultaneous T 1 1 and T 2 2 measurements using inversion recovery TrueFISP with principle component‐based reconstruction, off‐resonance correction, and multicomponent analysis
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Simultaneous T 1 1 and T 2 2 measurements using inversion recovery TrueFISP with principle component‐based reconstruction, off‐resonance correction, and multicomponent analysis

机译:同时使用基于组件的重建,偏离谐振校正和多组分分析的反转恢复TRUEFISP同时进行T 1 1和T 2 2测量

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摘要

Purpose To improve the reconstruction quality for quantitative T 1 and T 2 measurements using the inversion recovery (IR) TrueFISP sequence and to demonstrate the potential for multicomponent analysis. Methods The iterative reconstruction method takes advantage of the high redundancy in the smooth exponential signals using principle component analysis (PCA). Multicomponent information is preserved and allows voxel‐by‐voxel computation of relaxation time spectra with an inverse Laplace transform. Off‐resonance effects are analytically and numerically investigated and a correction approach is presented. Results Single‐shot IR TrueFISP in vivo measurements on healthy volunteers demonstrate the improved reconstruction performance compared to a view sharing (k‐space weighted image contrast [KWIC]) reconstruction. Especially, tissue components with short apparent relaxation times T 1 * are not filtered out and can be identified in the relaxation time spectra. These components include myelin in the human brain (T 1 * ≈ 130 ms) and extra cranial subcutaneous fat. Conclusion The PCA‐based reconstruction method improves the temporal accuracy and preserves multicomponent information. Spatially resolved relaxation time spectra can be obtained and allow the identification of tissue types with short, apparent relaxation times.
机译:目的通过反演恢复(IR)TrueFisp序列,提高定量T 1和T 2测量的重建质量,并展示多组分分析的可能性。方法使用原理分量分析(PCA),迭代重建方法利用了光滑指数信号中的高冗余。保留了多组分信息,并允许逐个体素计算放松时间谱,具有逆拉普拉斯变换。分析和数值研究的偏离共振效应,并提出了校正方法。结果单次IR TRUEFISP在健康志愿者的体内测量中展示了与视图共享相比改进的重建性能(K空间加权图像对比[KWIC])重建。特别地,没有滤出具有短的表观弛豫时间T 1的组织成分,并且可以在弛豫时间光谱中识别。这些组分包括人脑中的髓鞘(T 1 *≈130ms)和额外的颅皮脂肪。结论基于PCA的重建方法提高了时间精度并保留了多组分信息。可以获得空间分辨的弛豫时间光谱,并允许具有短,表观放松时间的组织类型。

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