SYSTEMS AND METHODOLOGIES FOR PROTON COMPUTED TOMOGRAPHY
    1.
    发明申请
    SYSTEMS AND METHODOLOGIES FOR PROTON COMPUTED TOMOGRAPHY 审中-公开
    用于PROTON计算机图像的系统和方法

    公开(公告)号:WO2011100628A3

    公开(公告)日:2011-10-20

    申请号:PCT/US2011024644

    申请日:2011-02-11

    Abstract: Disclosed are systems, devices and methodologies relating to proton computed tomography. In some implementations, detection of protons can yield track information before and after an object for each proton so as to allow determination of a likely path of each proton within the object. Further, measurement of energy loss experienced by each proton allows determination that a given likely path results in a given energy loss. A collection of such data allows characterization of the object. In the context of energy loss, such a characterization can include an image map of relative stopping power of the object. Various reconstruction methodologies for obtaining such an image, including but not limited to superiorization of a merit function such as total variation, are disclosed. In some implementations, various forms of total variation superiorization methodology can yield excellent results while being computationally efficient and with reduced computing time.

    Abstract translation: 公开了与质子计算机断层摄影相关的系统,装置和方法。 在一些实施方案中,质子的检测可以产生每个质子的物体之前和之后的轨道信息,以便允许确定物体内每个质子的可能路径。 此外,每个质子经历的能量损失的测量允许确定给定的可能路径导致给定的能量损失。 这样的数据的集合允许表征对象。 在能量损失的上下文中,这种表征可以包括对象的相对停止力的图像映射。 公开了用于获得这种图像的各种重建方法,包括但不限于诸如总变化的优点功能的优化。 在一些实现中,各种形式的全变异优化方法可以产生优异的结果,同时在计算上有效并且具有减少的计算时间。

    SYSTEMS AND METHODOLOGIES FOR PROTON COMPUTED TOMOGRAPHY
    3.
    发明申请
    SYSTEMS AND METHODOLOGIES FOR PROTON COMPUTED TOMOGRAPHY 审中-公开
    用于PROTON计算机图像的系统和方法

    公开(公告)号:WO2011100628A2

    公开(公告)日:2011-08-18

    申请号:PCT/US2011/024644

    申请日:2011-02-11

    Abstract: Disclosed are systems, devices and methodologies relating to proton computed tomography. In some implementations, detection of protons can yield track information before and after an object for each proton so as to allow determination of a likely path of each proton within the object. Further, measurement of energy loss experienced by each proton allows determination that a given likely path results in a given energy loss. A collection of such data allows characterization of the object. In the context of energy loss, such a characterization can include an image map of relative stopping power of the object. Various reconstruction methodologies for obtaining such an image, including but not limited to superiorization of a merit function such as total variation, are disclosed. In some implementations, various forms of total variation superiorization methodology can yield excellent results while being computationally efficient and with reduced computing time. In some implementations, such a methodology can result in high quality proton CT images using relatively low dose of protons.

    Abstract translation: 公开了与质子计算机断层摄影相关的系统,装置和方法。 在一些实施方案中,质子的检测可以产生每个质子的物体之前和之后的轨道信息,以便允许确定物体内每个质子的可能路径。 此外,每个质子经历的能量损失的测量允许确定给定的可能路径导致给定的能量损失。 这样的数据的集合允许表征对象。 在能量损失的上下文中,这种表征可以包括对象的相对停止力的图像映射。 公开了用于获得这种图像的各种重建方法,包括但不限于诸如总变化的优点功能的优化。 在一些实现中,各种形式的全变异优化方法可以产生优异的结果,同时在计算上有效并且具有减少的计算时间。 在一些实施方案中,这种方法可以产生使用相对低剂量的质子的高质量质子CT图像。

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