Systems and Methods for Calibrating Time Alignment For A Positron Emission Tomography (PET) System
    1.
    发明申请
    Systems and Methods for Calibrating Time Alignment For A Positron Emission Tomography (PET) System 有权
    用于校正正电子发射断层扫描(PET)系统的时间对准的系统和方法

    公开(公告)号:US20110127413A1

    公开(公告)日:2011-06-02

    申请号:US12628259

    申请日:2009-12-01

    IPC分类号: G12B13/00

    CPC分类号: G12B13/00 G01T1/2985

    摘要: A representative positron emission tomography (PET) calibration system includes a PET scanner having a ring detector, a phantom that is placed at approximately the center of the ring detector, and a time alignment calibration manager that is coupled to the PET scanner. The time alignment calibration manager detects coincidence events from the phantom, calculates position of time of flight events from the ring detector based on the detected coincidence events, and calculates time offsets for the ring detector using a mean value calculation based on the calculated position of the time of flight events.

    摘要翻译: 代表性的正电子发射断层摄影(PET)校准系统包括具有环检测器的PET扫描器,放置在环检测器的大约中心处的体模,以及耦合到PET扫描器的时间对准校准管理器。 时间校准管理器检测来自幻影的重合事件,基于检测到的重合事件来计算来自环形探测器的飞行时间的位置,并使用基于计算出的位置的计算的平均值计算环形探测器的时间偏移量 飞行时间事件

    Systems and methods for calibrating time alignment for a positron emission tomography (PET) system
    2.
    发明授权
    Systems and methods for calibrating time alignment for a positron emission tomography (PET) system 有权
    用于校正正电子发射断层摄影(PET)系统的时间对准的系统和方法

    公开(公告)号:US08089043B2

    公开(公告)日:2012-01-03

    申请号:US12628259

    申请日:2009-12-01

    IPC分类号: G01D18/00

    CPC分类号: G12B13/00 G01T1/2985

    摘要: A representative positron emission tomography (PET) calibration system includes a PET scanner having a ring detector, a phantom that is placed at approximately the center of the ring detector, and a time alignment calibration manager that is coupled to the PET scanner. The time alignment calibration manager detects coincidence events from the phantom, calculates position of time of flight events from the ring detector based on the detected coincidence events, and calculates time offsets for the ring detector using a mean value calculation based on the calculated position of the time of flight events.

    摘要翻译: 代表性的正电子发射断层摄影(PET)校准系统包括具有环检测器的PET扫描器,放置在环检测器的大约中心处的体模,以及耦合到PET扫描器的时间对准校准管理器。 时间校准管理器检测来自幻影的重合事件,基于检测到的重合事件来计算来自环形探测器的飞行时间的位置,并使用基于计算出的位置的计算的平均值计算环形探测器的时间偏移量 飞行时间事件

    Normalization Coefficients in PET Continuous Bed Motion Acquisition
    3.
    发明申请
    Normalization Coefficients in PET Continuous Bed Motion Acquisition 有权
    PET连续床运动获取中的归一化系数

    公开(公告)号:US20140200848A1

    公开(公告)日:2014-07-17

    申请号:US13739458

    申请日:2013-01-11

    IPC分类号: G06F17/18

    CPC分类号: G01T1/2985 A61B6/037

    摘要: Normalization coefficients in are computed for positron emission tomography (PET) continuous bed motion acquisition (CBM). The normalization coefficients for the lines-of-response in CBM account for the change in decay of the injected isotope over time and/or changes in velocity of the bed motion.

    摘要翻译: 计算正电子发射断层扫描(PET)连续床运动获取(CBM)的归一化系数。 CBM中响应线的归一化系数表示随着时间的推移,注入同位素的衰变变化和/或床运动速度的变化。

    Point spread function radial component implementation in Joseph's forward projector
    5.
    发明授权
    Point spread function radial component implementation in Joseph's forward projector 有权
    约瑟夫向前投影机的点扩散功能径向元件实现

    公开(公告)号:US08509504B2

    公开(公告)日:2013-08-13

    申请号:US12561139

    申请日:2009-09-16

    IPC分类号: G06K9/00 G06K9/62

    CPC分类号: G06T11/006 G06T2211/424

    摘要: Point spread function (PSF) radial filtering in a line of response space. Modeling a radial component, R, of a point spread filter as a function of at least a radial projection index ρ, a radial image space coordinate r, and an azimuth θ. The index ρ is characterized by an asymmetrical Gaussian distribution having where σleft(r) and σright(r) derived from point source measurements, and an adjustment σJ(r, θ) estimated from point source sinogram by Josephs' projector.

    摘要翻译: 点扩散函数(PSF)径向滤波在一行响应空间。 将点扩展滤波器的径向分量R作为至少径向投影指数rho,径向图像空间坐标r和方位角θ的函数建模。 索引rho的特征在于具有不对称高斯分布,其中从点源测量得到sigmaleft(r)和sigmaright(r),以及通过Josephs投影仪从点源正弦图估计的调节σJ(r,θ)。

    Simultaneous reconstruction of emission activity and attenuation coefficient distribution from TOF data, acquired with external shell source
    6.
    发明授权
    Simultaneous reconstruction of emission activity and attenuation coefficient distribution from TOF data, acquired with external shell source 有权
    从TOF数据同时重建排放活动和衰减系数分布,采用外壳来源采集

    公开(公告)号:US08913810B2

    公开(公告)日:2014-12-16

    申请号:US13555308

    申请日:2012-07-23

    IPC分类号: G06K9/00 G06T11/00

    摘要: Methods, and systems therefrom, for generating images from time of flight (TOF) data associated with a scan of at least one object using a positron emission tomography system are provided. The method includes providing initial values for an activity image to yield a current activity image. The method also includes estimating initial values for an attenuation map (μ-map) image based on the TOF data to yield a current μ-map image. The method further includes repeating, until at least one termination condition is met, the steps of updating the current activity image based on at least the current μ-map and a first update algorithm and updating the current μ-map image based on at least on the updated activity image and a second update algorithm. The method also includes outputting an image of the at least one object based on the current μ-map and the current activity image.

    摘要翻译: 提供了用于使用正电子发射断层摄影系统从与至少一个物体的扫描有关的飞行时间(TOF)数据生成图像的方法和系统。 该方法包括提供活动图像的初始值以产生当前活动图像。 该方法还包括基于TOF数据估计衰减映射(μ映射)图像的初始值以产生当前的μ映射图像。 该方法还包括重复直到至少一个终止条件被满足为基于至少基于当前μ映射和第一更新算法来更新当前活动图像的步骤,并且至少基于上述步骤更新当前的μ映射图像 更新的活动图像和第二更新算法。 该方法还包括基于当前μ图和当前活动图像输出至少一个对象的图像。

    Simultaneous Reconstruction of Emission Activity and Attenuation Coefficient Distribution from TOF Data, Acquired with External Shell Source
    7.
    发明申请
    Simultaneous Reconstruction of Emission Activity and Attenuation Coefficient Distribution from TOF Data, Acquired with External Shell Source 有权
    TOF数据同时重建排放活动和衰减系数分布,获得外壳来源

    公开(公告)号:US20130028496A1

    公开(公告)日:2013-01-31

    申请号:US13555308

    申请日:2012-07-23

    IPC分类号: G06K9/36

    摘要: Methods, and systems therefrom, for generating images from time of flight (TOF) data associated with a scan of at least one object using a positron emission tomography system are provided. The method includes providing initial values for an activity image to yield a current activity image. The method also includes estimating initial values for an attenuation map (μ-map) image based on the TOF data to yield a current μ-map image. The method further includes repeating, until at least one termination condition is met, the steps of updating the current activity image based on at least the current μ-map and a first update algorithm and updating the current μ-map image based on at least on the updated activity image and a second update algorithm. The method also includes outputting an image of the at least one object based on the current μ-map and the current activity image.

    摘要翻译: 提供了用于使用正电子发射断层摄影系统从与至少一个物体的扫描有关的飞行时间(TOF)数据生成图像的方法和系统。 该方法包括提供活动图像的初始值以产生当前活动图像。 该方法还包括基于TOF数据估计衰减映射(μ映射)图像的初始值以产生当前的μ映射图像。 该方法还包括重复直到至少一个终止条件被满足为基于至少基于当前μ映射和第一更新算法来更新当前活动图像的步骤,并且至少基于上述步骤更新当前的μ映射图像 更新的活动图像和第二更新算法。 该方法还包括基于当前μ图和当前活动图像输出至少一个对象的图像。

    Point Spread Function Radial Component Implementation in Joseph's Forward Projector
    8.
    发明申请
    Point Spread Function Radial Component Implementation in Joseph's Forward Projector 有权
    约瑟夫前向投影仪中点扩散函数径向分量实现

    公开(公告)号:US20100067758A1

    公开(公告)日:2010-03-18

    申请号:US12561139

    申请日:2009-09-16

    IPC分类号: G06K9/00 G01N23/04

    CPC分类号: G06T11/006 G06T2211/424

    摘要: Point spread function (PSF) radial filtering in a line of response space. Modeling a radial component, R, of a point spread filter as a function of at least a radial projection index ρ, a radial image space coordinate r, and an azimuth θ. The index ρ is characterized by an asymmetrical Gaussian distribution having where σleft(r) and σright(r) derived from point source measurements, and an adjustment σJ(r, θ) estimated from point source sinogram by Josephs' projector.

    摘要翻译: 点扩散函数(PSF)径向滤波在一行响应空间。 将点扩展滤波器的径向分量R建模为至少径向投影指数&rgr;径向图像空间坐标r和方位角的函数。 指数 其特征在于具有不对称高斯分布,其具有来自点源测量的&sgr; left(r)和&sgr; right(r)以及通过Josephs投影仪从点源正弦图估计的调整&sgr; J(r,&thetas)。

    Iterative algorithms for variance reduction on compressed sinogram random coincidences in PET
    9.
    发明授权
    Iterative algorithms for variance reduction on compressed sinogram random coincidences in PET 有权
    PET中压缩正弦图随机符号的方差降低迭代算法

    公开(公告)号:US08359345B2

    公开(公告)日:2013-01-22

    申请号:US12463946

    申请日:2009-05-11

    申请人: Vladimir Y. Panin

    发明人: Vladimir Y. Panin

    IPC分类号: G06F7/00 G06F15/00

    CPC分类号: G06F7/588 G01T1/00

    摘要: The use of the ordinary Poisson iterative reconstruction algorithm in PET requires the estimation of expected random coincidences. In a clinical environment, random coincidences are often acquired with a delayed coincidence technique, and expected randoms are estimated through variance reduction (VR) of measured delayed coincidences. In this paper we present iterative VR algorithms for random compressed sonograms, when previously known methods are not applicable. Iterative methods have the advantage of easy adaptation to any acquisition geometry and of allowing the estimation of singles rates at the crystal level when the number of crystals is relatively small. Two types of sonogram compression are considered: axial (span) rebinning and transaxial mashing. A monotonic sequential coordinate descent algorithm, which optimizes the Least Squares objective function, is investigated. A simultaneous update algorithm, which possesses the advantage of easy parallelization, is also derived for both cases of the Least Squares and Poisson Likelihood objective function.

    摘要翻译: 在PET中使用普通泊松迭代重建算法需要估计预期的随机重合。 在临床环境中,通常采用延迟符合技术获得随机符合度,并且通过测量的延迟符合度的方差减小(VR)估计预期随机数。 在本文中,我们提出了随机压缩声像图的迭代VR算法,以前已知的方法不适用。 迭代方法具有容易适应于任何采集几何的优点,并且当晶体数目相对较小时允许在晶体级别估计单数率。 考虑到两种类型的超声波压缩:轴向(跨度)重组和横轴糖化。 研究了优化最小二乘方目标函数的单调连续坐标下降算法。 对于最小二乘法和泊松似然目标函数的两种情况,也推导出具有易并行化优势的同步更新算法。

    Generating attenuation correction maps for combined modality imaging studies and improving generated attenuation correction maps using MLAA and DCC algorithms
    10.
    发明授权
    Generating attenuation correction maps for combined modality imaging studies and improving generated attenuation correction maps using MLAA and DCC algorithms 有权
    生成用于组合模态成像研究的衰减校正图,并使用MLAA和DCC算法改进生成的衰减校正图

    公开(公告)号:US09053569B2

    公开(公告)日:2015-06-09

    申请号:US13970753

    申请日:2013-08-20

    IPC分类号: G06K9/00 G06T11/00

    CPC分类号: G06T11/005

    摘要: The DCC (Data Consistency Condition) algorithm is used in combination with MLAA (Maximum Likelihood reconstruction of Attenuation and Activity) to generate extended attenuation correction maps for nuclear medicine imaging studies. MLAA and DCC are complementary algorithms that can be used to determine the accuracy of the mu-map based on PET data. MLAA helps to estimate the mu-values based on the biodistribution of the tracer while DCC checks if the consistency conditions are met for a given mu-map. These methods are combined to get a better estimation of the mu-values. In gated MR/PET cardiac studies, the PET data is framed into multiple gates and a series of MR based mu-maps corresponding to each gate is generated. The PET data from all gates is combined. Once the extended mu-map is generated the central region is replaced with the MR based mu-map corresponding to that particular gate. On the other hand, in dynamic PET studies the uptake in the patient's arms reaches a steady state only after the tracer distributes throughout the body. Hence, for dynamic scans, the projection data of all frames is summed and used to generate the MLAA based extended mu-map for all frames.

    摘要翻译: DCC(数据一致条件)算法与MLAA(衰减和活动的最大似然重构)结合使用,以产生用于核医学成像研究的扩展衰减校正图。 MLAA和DCC是可以用于基于PET数据确定mu-map精度的互补算法。 MLAA有助于根据示踪剂的生物分布估计μ值,而DCC检查是否满足给定mu-map的一致性条件。 将这些方法组合起来,以便更好地估计μ值。 在门控MR / PET心脏研究中,PET数据被框架成多个门,并且生成与每个门对应的一系列基于MR的mu图。 来自所有门的PET数据被组合。 一旦生成了扩展的mu-map,就将中心区域替换为与该特定门对应的基于MR的mu-map。 另一方面,在动态PET研究中,仅在跟踪器分布在整个身体之后,患者的手臂中的摄取才达到稳定状态。 因此,对于动态扫描,将所有帧的投影数据求和并用于为所有帧生成基于MLAA的扩展mu-map。