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    NUCLEAR MEDICINE IMAGING SYSTEM AND METHOD USING MULTIPLE TYPES OF IMAGING DETECTORS
    11.
    发明申请
    NUCLEAR MEDICINE IMAGING SYSTEM AND METHOD USING MULTIPLE TYPES OF IMAGING DETECTORS 有权
    核医学成像系统和使用多种成像检测器的方法

    公开(公告)号：US20120248320A1

    公开(公告)日：2012-10-04

    申请号：US13077540

    申请日：2011-03-31

    Applicant: Kristen Ann Wangerin ,  Evren Asma ,  Jorge Uribe ,  Ravindra Manjeshwar

    Inventor： Kristen Ann Wangerin ,  Evren Asma ,  Jorge Uribe ,  Ravindra Manjeshwar

    IPC: G01T1/166

    CPC classification number: G01T1/166 ,  A61B6/037 ,  G01T1/1603 ,  G01T1/1644 ,  G01T1/249

    Abstract: A Nuclear Medicine (NM) imaging system and method using multiple types of imaging detectors are provided. One NM imaging system includes a gantry, at least a first imaging detector coupled to the gantry, wherein the first imaging detector is a non-moving detector, and at least a second imaging detector coupled to the gantry, wherein the second imaging detector is a moving detector. The first imaging detector is larger than the second imaging detector and the first and second imaging detectors have different detector configurations. The NM imaging system further includes a controller configured to control the operation of the first and second imaging detectors during an imaging scan of an object to acquire Single Photon Emission Computed Tomography (SPECT) image information such that at least the first imaging detector remains stationary with respect to the gantry during image acquisition.

    Abstract translation: 提供了使用多种成像检测器的核医学（NM）成像系统和方法。 一个NM成像系统包括台架，至少第一成像检测器，其耦合到台架，其中第一成像检测器是非移动检测器，以及耦合到台架的至少第二成像检测器，其中第二成像检测器是 移动探测器。 第一成像检测器大于第二成像检测器，并且第一和第二成像检测器具有不同的检测器配置。 NM成像系统还包括控制器，其被配置为在对象的成像扫描期间控制第一和第二成像检测器的操作，以获取单光子发射计算机断层扫描（SPECT）图像信息，使得至少第一成像检测器保持静止， 在图像采集期间对台架的尊重。

    Systems and methods for attenuation compensation in nuclear medicine imaging based on emission data
    14.
    发明授权
    Systems and methods for attenuation compensation in nuclear medicine imaging based on emission data 有权
    基于排放数据的核医学成像中衰减补偿的系统和方法

    公开(公告)号：US08835858B2

    公开(公告)日：2014-09-16

    申请号：US13428840

    申请日：2012-03-23

    Applicant: Lana Volokh ,  Yaron Hefetz ,  Alexander Ganin ,  Ravindra Manjeshwar

    Inventor： Lana Volokh ,  Yaron Hefetz ,  Alexander Ganin ,  Ravindra Manjeshwar

    IPC: G01T1/164 ,  A61B6/00

    CPC classification number: A61B6/03 ,  A61B6/037 ,  A61B6/483 ,  A61B6/503 ,  A61B6/52 ,  A61B6/5205 ,  A61B6/5258 ,  A61B2576/023 ,  G06T11/005

    Abstract: Systems and methods for attenuation compensation in nuclear medicine imaging based on emission data are provided. One method includes acquiring emission data at a plurality of energy windows for a person having administered thereto a radiopharmaceutical comprising at least one radioactive isotope. The method also includes performing a preliminary reconstruction of the acquired emission data to create one or more preliminary images of a peak energy window and a scatter energy window and determining a body outline of the person from at least one of the reconstructed preliminary image of the peak energy window or of the scatter energy window. The method further includes identifying a heart contour and segmenting at least the left lung. The method additionally includes defining an attenuation map based on the body outline and segmented left lung and reconstructing an image of a region of interest of the person using an iterative joint estimation reconstruction.

    Abstract translation: 提供了基于发射数据的核医学成像中衰减补偿的系统和方法。 一种方法包括在给予其的人的多个能量窗口上获取包含至少一种放射性同位素的放射性药物的排放数据。 该方法还包括执行所获取的排放数据的初步重建以创建峰值能量窗口和散射能量窗口的一个或多个初步图像，并且从峰值的重建初步图像中的至少一个中确定人物轮廓线 能量窗或散射能窗。 所述方法还包括识别心脏轮廓并分割至少左肺。 该方法还包括基于身体轮廓和分割的左肺定义衰减图，并且使用迭代联合估计重建来重建人的感兴趣区域的图像。

    SYSTEMS AND METHODS FOR ATTENUATION COMPENSATION IN NUCLEAR MEDICINE IMAGING BASED ON EMISSION DATA
    15.
    发明申请
    SYSTEMS AND METHODS FOR ATTENUATION COMPENSATION IN NUCLEAR MEDICINE IMAGING BASED ON EMISSION DATA 有权
    基于排放数据的核医学成像中的衰减补偿系统与方法

    公开(公告)号：US20130248719A1

    公开(公告)日：2013-09-26

    申请号：US13428840

    申请日：2012-03-23

    Applicant: Lana Volokh ,  Yaron Hefetz ,  Alexander Ganin ,  Ravindra Manjeshwar

    Inventor： Lana Volokh ,  Yaron Hefetz ,  Alexander Ganin ,  Ravindra Manjeshwar

    IPC: G01T1/164

    CPC classification number: A61B6/03 ,  A61B6/037 ,  A61B6/483 ,  A61B6/503 ,  A61B6/52 ,  A61B6/5205 ,  A61B6/5258 ,  A61B2576/023 ,  G06T11/005

    Abstract: Systems and methods for attenuation compensation in nuclear medicine imaging based on emission data are provided. One method includes acquiring emission data at a plurality of energy windows for a person having administered thereto a radiopharmaceutical comprising at least one radioactive isotope. The method also includes performing a preliminary reconstruction of the acquired emission data to create one or more preliminary images of a peak energy window and a scatter energy window and determining a body outline of the person from at least one of the reconstructed preliminary image of the peak energy window or of the scatter energy window. The method further includes identifying a heart contour and segmenting at least the left lung. The method additionally includes defining an attenuation map based on the body outline and segmented left lung and reconstructing an image of a region of interest of the person using an iterative joint estimation reconstruction.

    Abstract translation: 提供了基于发射数据的核医学成像中衰减补偿的系统和方法。 一种方法包括在给予其的人的多个能量窗口上获取包含至少一种放射性同位素的放射性药物的排放数据。 该方法还包括执行所获取的发射数据的初步重建以创建峰值能量窗口和散射能量窗口的一个或多个初步图像，并且从峰值的重建初步图像中的至少一个中确定人物轮廓线 能量窗或散射能窗。 所述方法还包括识别心脏轮廓并分割至少左肺。 该方法还包括基于身体轮廓和分割的左肺定义衰减图，并且使用迭代联合估计重建来重建人的感兴趣区域的图像。

    Method and apparatus for automatically characterizing a malignancy
    16.
    发明授权
    Method and apparatus for automatically characterizing a malignancy 有权
    用于自动表征恶性肿瘤的方法和装置

    公开(公告)号：US08010184B2

    公开(公告)日：2011-08-30

    申请号：US11291830

    申请日：2005-11-30

    Applicant: Ricardo Avila ,  Floribertus Heukensfeldt Jansen ,  Dinko Gonzalez Trotter ,  James Miller ,  Ravindra Manjeshwar ,  Thomas Sebastian

    Inventor： Ricardo Avila ,  Floribertus Heukensfeldt Jansen ,  Dinko Gonzalez Trotter ,  James Miller ,  Ravindra Manjeshwar ,  Thomas Sebastian

    IPC: A61B5/055

    CPC classification number: G01T1/1611 ,  A61B6/037 ,  A61B34/10 ,  G01R33/4808 ,  G01R33/481 ,  G01R33/4812 ,  G01R33/4814

    Abstract: A region of interest is automatically evaluated. The automatic evaluation is based on assessments of one or more characteristics. The one or more characteristics of the region of interest are assessed in a plurality of image data sets acquired by a respective plurality of imaging modalities. In some embodiments, the evaluation is based on assessments of one or more characteristics for each region of interest derived from a combination of structural and functional image data. In one embodiment, the set of structural image data is a set of CT image data and the set of functional image data is a set of PET image data. The one or more lesions may be detected in the structural and/or functional image data by automated routines or by a visual inspection by a clinician or other reviewer.

    Abstract translation: 自动评估感兴趣的区域。 自动评估是基于一个或多个特征的评估。 在由相应的多个成像模式获取的多个图像数据集中评估感兴趣区域的一个或多个特征。 在一些实施例中，评估基于从结构和功能图像数据的组合导出的每个感兴趣区域的一个或多个特征的评估。 在一个实施例中，该组结构图像数据是一组CT图像数据，并且功能图像数据集合是一组PET图像数据。 在结构和/或功能图像数据中可以通过自动程序或临床医生或其他审查者的目视检查来检测一个或多个损伤。

    METHOD AND SYSTEM FOR CALIBRATING A TIME OF FLIGHT POSITRON EMISSION TOMOGRAPHY SYSTEM
    17.
    发明申请
    METHOD AND SYSTEM FOR CALIBRATING A TIME OF FLIGHT POSITRON EMISSION TOMOGRAPHY SYSTEM 有权
    用于校准飞行姿势排放测量系统时间的方法和系统

    公开(公告)号：US20070057189A1

    公开(公告)日：2007-03-15

    申请号：US11226171

    申请日：2005-09-14

    Applicant: Floribertus Jansen ,  Ravindra Manjeshwar

    Inventor： Floribertus Jansen ,  Ravindra Manjeshwar

    IPC: G01T1/161

    CPC classification number: G01T1/2985

    Abstract: A method and system for calibrating a Time of Flight Positron Emission Tomography (TOF PET) system are provided. The method includes storing acquired scan data from detector pairs. The acquired scan data includes image data and timing information. The method further includes reconstructing images using scan data. The method also includes determining a timing correction for each detector based on intensity distribution histograms of emission sources. The system includes a controller, which is configured to perform the above-mentioned method steps.

    Abstract translation: 提供了一种用于校准飞行时间正电子发射断层扫描（TOF PET）系统的方法和系统。 该方法包括从检测器对存储获取的扫描数据。 获取的扫描数据包括图像数据和定时信息。 该方法还包括使用扫描数据重建图像。 该方法还包括基于发射源的强度分布直方图确定每个检测器的定时校正。 该系统包括控制器，其被配置为执行上述方法步骤。

    Method and apparatus for automatically characterizing a malignancy
    18.
    发明申请
    Method and apparatus for automatically characterizing a malignancy 有权
    用于自动表征恶性肿瘤的方法和装置

    公开(公告)号：US20070167697A1

    公开(公告)日：2007-07-19

    申请号：US11291830

    申请日：2005-11-30

    Applicant: Ricardo Avila ,  Floribertus Jansen ,  Dinko Trotter ,  James Miller ,  Ravindra Manjeshwar ,  Thomas Sebastian

    Inventor： Ricardo Avila ,  Floribertus Jansen ,  Dinko Trotter ,  James Miller ,  Ravindra Manjeshwar ,  Thomas Sebastian

    IPC: A61B5/05

    CPC classification number: G01T1/1611 ,  A61B6/037 ,  A61B34/10 ,  G01R33/4808 ,  G01R33/481 ,  G01R33/4812 ,  G01R33/4814

    Abstract: A malignancy probability is automatically calculated for one or more lesions. The malignancy probability is based on assessments of one or more malignancy characteristics for each lesion derived from two or more structural and/or functional image data sets. Likewise, in some embodiments, the malignancy probability is based on assessments of one or more malignancy characteristics for each lesion derived from a combination of structural and functional image data. In one embodiment, the set of structural image data is a set of CT image data and the set of functional image data is a set of PET image data. The one or more lesions may be detected in the structural and/or functional image data by automated routines or by a visual inspection by a clinician or other reviewer.

    Abstract translation: 自动计算一个或多个病变的恶性概率。 恶性概率基于从两个或多个结构和/或功能图像数据集导出的每个病变的一个或多个恶性特征的评估。 类似地，在一些实施例中，恶性概率基于从结构和功能图像数据的组合导出的每个损伤的一个或多个恶性特征的评估。 在一个实施例中，该组结构图像数据是一组CT图像数据，并且功能图像数据集合是一组PET图像数据。 在结构和/或功能图像数据中可以通过自动程序或临床医生或其他审查者的目视检查来检测一个或多个损伤。

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