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Addressing Intravoxel Incoherent Motion challenges through an optimized fitting framework for quantification of perfusion

机译:通过用于量化灌注的优化拟合框架来解决体内Invovel不相干运动的挑战

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Diffusion Weighted Imaging (DWI) is a noninvasive imaging technique in Magnetic Resonance Imaging (MRI), providing significant anatomical and functional information in a wide range of clinical and research studies based on the random motion of water molecules. DWI, using appropriate models, can be quantified into clinically relevant biomarkers giving insight in the complexity of the tissue microstructure. Intravoxel Incoherent Motion (IVIM) has been extensively used as a promising model in DWI for assessing cellular density and microcirculation of blood in the tissue, and quantification of these tissue characteristics into biomarkers called true diffusion and micro perfusion. A complex mathematical framework is the basis of IVIM to extract reliable and accurate measures for true diffusion and micro perfusion from the fitting process. However not all biomarkers can be approximated with equal accuracy with micro perfusion being the most sensitive to fitting errors. The most important factors hindering the evaluation are highlighted and alternative methods to mitigate the fitting errors are proposed.
机译:扩散加权成像(DWI)是磁共振成像(MRI)中的一种非侵入性成像技术,可基于水分子的随机运动在广泛的临床和研究中提供重要的解剖和功能信息。使用适当的模型,可以将DWI量化为临床相关的生物标记,从而深入了解组织微观结构的复杂性。 Invovoxel不相干运动(IVIM)已被广泛用作DWI中的一种有前途的模型,用于评估细胞密度和组织中血液的微循环,并将这些组织特征量化为生物标记,称为真扩散和微灌注。复杂的数学框架是IVIM的基础,可以从拟合过程中提取可靠和准确的测量值,以进行真正的扩散和微灌注。然而,并不是所有的生物标志物都能以相同的精度被近似化,因为微灌注对拟合误差最敏感。突出了阻碍评估的最重要因素,并提出了减少拟合误差的替代方法。

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