Fractional Order and Entropy Bio-Markers for Biological Tissue in Diffusion Weighted Magnetic Resonance Imaging
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    发明申请
    Fractional Order and Entropy Bio-Markers for Biological Tissue in Diffusion Weighted Magnetic Resonance Imaging 审中-公开
    生物组织的分数阶和熵生物标记在扩散加权磁共振成像中的应用

    公开(公告)号:US20160018504A1

    公开(公告)日:2016-01-21

    申请号:US14772912

    申请日:2014-03-07

    摘要: The invention disclosed herein provides an example method and system for characterizing a biological structure in terms of bio-markers derived from DWI data. The methodology includes estimating bio-markers in a fixed diffusion time protocol, estimating bio-markers in fixed diffusion encoding gradient strength protocol, calculating parameters of a model, and using the parameters to characterize a biological structure. Using the techniques and methods described herein, the data may be used to identify structural degeneration, structural integrity and response to therapeutics.

    摘要翻译: 本文公开的本发明提供了一种用于表征从DWI数据导出的生物标志物的生物结构的示例性方法和系统。 该方法包括以固定扩散时间方案估计生物标志物,估计固定扩散编码梯度强度协议中的生物标记,计算模型的参数,以及使用参数来表征生物结构。 使用本文所述的技术和方法,数据可用于鉴定结构退化,结构完整性和对治疗剂的反应。

    Fractional order and entropy bio-markers for biological tissue in diffusion weighted magnetic resonance imaging

    公开(公告)号:US10048345B2

    公开(公告)日:2018-08-14

    申请号:US14772912

    申请日:2014-03-07

    摘要: Disclosed herein is an example method and system for characterizing a biological structure in terms of bio-markers derived from diffusion weighted magnetic resonance imaging (DWI) data of biologic material. A first set of DWI data may be obtained using a fixed diffusion encoding gradient and a plurality of diffusion time resolutions, and a second set of DWI data may be obtained using a fixed diffusion time resolution and a plurality of diffusion encoding gradients. The first and second sets may be analytically fit with a fractional power-law diffusion model parameterized by fractional exponents each uniquely corresponding to one of a plurality of bio-markers of the biologic material. Fractional exponents may be determined from the analytical fitting of the first and second sets of DWI data, and an image of the biologic material may be generated and displayed.