Selective sampling magnetic resonance-based method for assessing structural spatial frequencies
    1.
    发明授权
    Selective sampling magnetic resonance-based method for assessing structural spatial frequencies 有权
    用于评估结构空间频率的选择性采样基于磁共振的方法

    公开(公告)号:US09366738B2

    公开(公告)日:2016-06-14

    申请号:US14840327

    申请日:2015-08-31

    Abstract: The disclosed embodiments provide a method for acquiring MR data at resolutions down to tens of microns for application in in-vivo diagnosis and monitoring of pathology for which changes in fine tissue textures can be used as markers of disease onset and progression. Bone diseases, tumors, neurologic diseases, and diseases involving fibrotic growth and/or destruction are all target pathologies. Further the technique can be used in any biologic or physical system for which very high-resolution characterization of fine scale morphology is needed. The method provides rapid acquisition of selected values in k-space, with multiple successive acquisitions of individual k-values taken on a time scale on the order of microseconds, within a defined tissue volume, and subsequent combination of the multiple measurements in such a way as to maximize SNR. The reduced acquisition volume, and acquisition of only select values in k-space along selected directions, enables much higher in-vivo resolution than is obtainable with current MRI techniques.

    Abstract translation: 所公开的实施例提供了一种用于以分辨率低至几十微米获取MR数据的方法,用于体内诊断和监测病理学,其中精细组织纹理的变化可用作疾病发作和进展的标志。 骨病,肿瘤,神经系统疾病和涉及纤维化生长和/或破坏的疾病都是目标病态。 此外,该技术可以用于需要非常高分辨率表征精细尺度形态的任何生物或物理系统中。 该方法提供了在k空间中快速获取所选择的值,并且以定义的组织体积内的微秒数量级的时间尺度上采集的各个k值的多次连续采集,以及以这种方式的多个测量结果的后续组合 以使SNR最大化。 缩小的采集量以及沿所选方向仅在k空间中的选择值的获取实现了比目前的MRI技术可获得更高的体内分辨率。

    SELECTIVE SAMPLING FOR ASSESSING STRUCTURAL SPATIAL FREQUENCIES WITH SPECIFIC CONTRAST MECHANISMS
    6.
    发明申请
    SELECTIVE SAMPLING FOR ASSESSING STRUCTURAL SPATIAL FREQUENCIES WITH SPECIFIC CONTRAST MECHANISMS 有权
    用特定对比机制评估结构性空间频率的选择性采样

    公开(公告)号:US20170030986A1

    公开(公告)日:2017-02-02

    申请号:US15288974

    申请日:2016-10-07

    Abstract: The disclosed embodiments provide a method for acquiring MR data at resolutions down to tens of microns for application in in-vivo diagnosis and monitoring of pathology for which changes in fine tissue textures can be used as markers of disease onset and progression. Bone diseases, tumors, neurologic diseases, and diseases involving fibrotic growth and/or destruction are all target pathologies. Further the technique can be used in any biologic or physical system for which very high-resolution characterization of fine scale morphology is needed. The method provides rapid acquisition of selected values in k-space, with multiple successive acquisitions of individual k-values taken on a time scale on the order of microseconds, within a defined tissue volume, and subsequent combination of the multiple measurements in such a way as to maximize SNR. The reduced acquisition volume, and acquisition of only select values in k-space along selected directions, enables much higher in-vivo resolution than is obtainable with current MRI techniques.

    Abstract translation: 所公开的实施例提供了一种用于以分辨率低至几十微米获取MR数据的方法,用于体内诊断和监测病理学,其中精细组织纹理的变化可用作疾病发作和进展的标志。 骨病,肿瘤,神经系统疾病和涉及纤维化生长和/或破坏的疾病都是目标病态。 此外,该技术可以用于需要非常高分辨率表征精细尺度形态的任何生物或物理系统中。 该方法提供在k空间中快速获取所选择的值,并且以定义的组织体积内的微秒数量级的多个连续采集在时间尺度上进行多次连续采集,并且以这种方式的多个测量的后续组合 以使SNR最大化。 缩小的采集量以及沿所选方向仅在k空间中的选择值的获取实现了比目前的MRI技术可获得更高的体内分辨率。

    Selective sampling for assessing structural spatial frequencies with specific contrast mechanisms

    公开(公告)号:US10330763B2

    公开(公告)日:2019-06-25

    申请号:US16044393

    申请日:2018-07-24

    Abstract: The disclosed embodiments provide a method for acquiring MR data at resolutions down to tens of microns for application in in vivo diagnosis and monitoring of pathology for which changes in fine tissue textures can be used as markers of disease onset and progression. Bone diseases, tumors, neurologic diseases, and diseases involving fibrotic growth and/or destruction are all target pathologies. Further the technique can be used in any biologic or physical system for which very high-resolution characterization of fine scale morphology is needed. The method provides rapid acquisition of signal at selected values in k-space, with multiple successive acquisitions at individual k-values taken on a time scale on the order of microseconds, within a defined tissue volume, and subsequent combination of the multiple measurements in such a way as to maximize SNR. The reduced acquisition volume, and acquisition of only signal values at select places in k-space, along selected directions, enables much higher in vivo resolution than is obtainable with current MRI techniques.

Patent Agency Ranking