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首页> 外文期刊>Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine >Optimization of b‐value schemes for estimation of the diffusion coefficient and the perfusion fraction with segmented intravoxel incoherent motion model fitting
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Optimization of b‐value schemes for estimation of the diffusion coefficient and the perfusion fraction with segmented intravoxel incoherent motion model fitting

机译:用于估计扩散系数的B值方案的优化和分段透析的透析局部非相干运动模型配件

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Purpose Intravoxel incoherent motion (IVIM) modeling for estimation of the diffusion coefficient ( D ) and perfusion fraction ( f ) is increasingly popular, but no consensus on standard protocols exists. This study provides a framework for optimization of b‐value schemes for reduced estimation uncertainty of D and f from segmented model fitting. Theory Analytical expressions for uncertainties of D and f from segmented model fitting were derived as Cramer‐Rao lower bounds (CRLBs). Methods Optimized b‐value schemes were obtained for 3 to 12 acquisitions and in the limit of infinitely many acquisitions through constrained minimization of the CRLBs, with b‐values constrained to be 0 or 200 to 800 s/mm 2 . The optimized b‐value scheme with eight acquisitions was compared with b‐values linearly distributed in the allowed range using simulations and in vivo liver data from seven healthy volunteers. Results All optimized b‐value schemes contained exactly three unique b‐values regardless of the total number of acquisitions (0, 200, and 800 s/mm 2 ) with repeated acquisitions distributed approximately as 1:2:2. Compared with linearly distributed b‐values, the variability of estimates of D and f was reduced by approximately 30% as seen both in simulations and in repeated in vivo measurements. Conclusion The uncertainty of IVIM D and f estimates can be reduced by the use of optimized b‐value schemes.
机译:目的,用于估计扩散系数(D)和灌注分数(F)的介体非相干运动(IVIM)模型越来越流行,但不存在对标准方案的共识。本研究提供了一种优化B值方案的框架,用于降低D和F的估计来自分段模型配件的估计不确定性。从分段模型配件的D和F的不确定性的理论分析表达式衍生成克拉姆 - rao下界(CRLBS)。方法通过CRLBS的约束最小化获得优化的B值方案3至12个采集,并且在无限多次采集的限制下,B值约为0或200至800 s / mm 2。使用七个健康志愿者的体内肝脏数据在允许的范围内线性分布的B值进行了优化的B值方案。结果所有优化的B值方案都包含完全三个独特的B值,而不管具有重复采集的获取(0,200和800 S / mm 2),分布大约为1:2:2的重复采集。与线性分布的B值相比,D和F的估计变异性降低了大约30%,如模拟中所见,并且在体内测量中重复。结论通过使用优化的B值方案,可以减少IVIM D和F估计的不确定性。

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