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    MEDICAL IMAGE WORKFLOW SYSTEM AND METHOD
    2.
    发明申请
    MEDICAL IMAGE WORKFLOW SYSTEM AND METHOD 审中-公开

    公开(公告)号：US20200265946A1

    公开(公告)日：2020-08-20

    申请号：US16306704

    申请日：2017-06-15

    申请人： ALGOTEC SYSTEMS LTD.

    发明人： Menashe BENJAMIN ,  Meir COHEN ,  Ron KIMCHI ,  Alex AISEN

    IPC分类号： G16H40/20 ,  G06K9/00

    摘要： A method of automatically assigning each of a plurality of medical imaging cases for reading by one of a plurality of readers, comprising: receiving the medical imaging cases; listing each case, at different times, on worklists displayed to one or more readers who are allowed to choose the case for reading at that time; receiving information on choices of cases by the readers; and assigning cases to readers who choose them; wherein for at least some of the cases, initially only a portion of the readers are allowed to choose the case, but over time, as the case becomes more urgent to read, the case is escalated a first time by adding one or more other readers who are allowed to choose the case, and over further time, if the case is still not read, the case is escalated at least one additional time.

    Method for segmentation of the head-neck arteries, brain and skull in medical images
    4.
    发明授权
    Method for segmentation of the head-neck arteries, brain and skull in medical images 有权

    公开(公告)号：US10885633B2

    公开(公告)日：2021-01-05

    申请号：US16100255

    申请日：2018-08-10

    申请人： ALGOTEC SYSTEMS LTD.

    发明人： Ohad Silbert ,  Reuven Shreiber ,  Guy Engelhard ,  Hadar Porat ,  Tiferet Gazit

    IPC分类号： G06T7/11

    摘要： A method for automated segmentation of a blood vessel of a head and neck of a subject in a medical image, the method comprising: identifying the location of anatomical landmarks in the medical image; identifying regions of interest in the medical image based on the landmarks; segmenting segments of blood vessels in the medical image; classifying at least one of the segments as defining the blood vessel based on its position relative to the landmarks within the regions of interest to create a classified blood vessel; identifying a starting seed for the blood vessel from the classified blood vessel; identifying an ending seed for the blood vessel from the classified blood vessel; segmenting the blood vessel between the starting seed and the ending seed; and defining a path between the starting seed and the ending seed.

    Calculation of perfusion parameters in medical imaging
    5.
    发明授权
    Calculation of perfusion parameters in medical imaging 有权

    公开(公告)号：US10213178B2

    公开(公告)日：2019-02-26

    申请号：US15706798

    申请日：2017-09-18

    申请人： Algotec Systems Ltd.

    发明人： Ohad Silbert

    IPC分类号： G06K9/00 ,  A61B6/00 ,  A61B5/026 ,  A61B5/00 ,  G01R33/56 ,  G01R33/563 ,  G06T7/11 ,  G06T7/00 ,  A61B6/03 ,  A61B5/0295 ,  A61B5/055

    摘要： A method of determining a residue function in brain tissue, from medical images acquired after introducing contrast agent into the blood, correcting for contrast agent leakage into the tissue, comprising: a) providing time signals indicating contrast agent concentration for leaking voxels, a time signal indicating average contrast agent concentration for non-leaking voxels, and an artery input function, all derived from the images; b) fitting the leaking voxel signals to a model time signal with a free parameter for leakage rate, the model assuming that the concentration of contrast agent perfusing through a leaking voxel has a same shape as a function of time as the average contrast agent concentration for non-leaking voxels; c) using the best fit leakage rate parameter to make a correction for leakage to the leaking voxel signals; and d) deconvolving the corrected signals from the artery input function, to find the residue function.

    IMAGE PROCESSING OF ORGANS DEPENDING ON ORGAN INTENSITY CHARACTERISTICS
    6.
    发明申请
    IMAGE PROCESSING OF ORGANS DEPENDING ON ORGAN INTENSITY CHARACTERISTICS 有权
    依靠有机强度特征的图像处理

    公开(公告)号：US20160300351A1

    公开(公告)日：2016-10-13

    申请号：US15093803

    申请日：2016-04-08

    申请人： Algotec Systems Ltd.

    发明人： Tiferet T. Gazit

    IPC分类号： G06T7/00 ,  G06T5/00 ,  A61B6/03

    CPC分类号： G06T7/0012 ,  A61B6/032 ,  A61B6/481 ,  A61B6/482 ,  A61B6/5211 ,  G06F19/00 ,  G06T5/002 ,  G06T5/009 ,  G06T7/0014 ,  G06T7/11 ,  G06T7/155 ,  G06T7/187 ,  G06T2207/10081 ,  G06T2207/20004 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20182 ,  G06T2207/20208 ,  G06T2207/30056 ,  G06T2207/30084 ,  G06T2207/30101 ,  G16H50/50

    摘要： A method of processing a medical image comprising an organ, the method comprising: obtaining a medical image; automatically estimating one or more organ intensity characteristics in the image, from contents of a region of the image that appears to correspond, at least in part, to at least a portion of the organ; providing a plurality of sets of organ intensity characteristics, each set a different example of possible intensity characteristics of the organ; choosing one of the plurality of sets, that has organ intensity characteristics that provide a better match than one or more other sets to the estimated organ intensity characteristics of the image; setting values of one or more image processing parameters based on the organ intensity characteristics of the chosen set; and automatically processing the image using said values of image processing parameters.

    摘要翻译： 一种处理包括器官的医学图像的方法，所述方法包括：获得医学图像; 从所述图像的区域的内容至少部分地至少部分地对应于所述器官的至少一部分，自动估计所述图像中的一个或多个器官强度特征; 提供多组器官强度特征，各设置器官可能的强度特征的不同实例; 选择多个组中的一个，其具有与一个或多个其他组相比对于图像的估计的器官强度特征提供更好匹配的器官强度特征; 基于所选择的组的器官强度特征设置一个或多个图像处理参数的值; 并使用图像处理参数的值自动处理图像。

    Method and system for spatial segmentation of anatomical structures
    9.
    发明授权
    Method and system for spatial segmentation of anatomical structures 有权

    公开(公告)号：US09978150B2

    公开(公告)日：2018-05-22

    申请号：US15162663

    申请日：2016-05-24

    申请人： Algotec Systems Ltd.

    发明人： Oranit Dror ,  Guy Engelhard

    IPC分类号： G06K9/00 ,  G06T7/12

    CPC分类号： G06T7/12 ,  G06T2207/10081 ,  G06T2207/20156 ,  G06T2207/30004

    摘要： Spatial segmentation of lymph nodes in a 3-D medical image is automatically determined, based on a set of inputs provided by a user which define a low number of initial conditions for segmentation. In some embodiments, the automation comprises producing a lymph node segmentation from the 3-D image based on a 2-D image slice and a representative line segment on that slice. In some embodiments, segmentation comprises a two tiered approach (2-D segmentation, followed by 3-D segmentation) based on adaptation of the level set framework to the particular conditions of lymph node segmentation.

    METHOD AND SYSTEM FOR SPATIAL SEGMENTATION OF ANATOMICAL STRUCTURES
    10.
    发明申请
    METHOD AND SYSTEM FOR SPATIAL SEGMENTATION OF ANATOMICAL STRUCTURES 有权
    解剖学结构的空间分割方法与系统

    公开(公告)号：US20170039725A1

    公开(公告)日：2017-02-09

    申请号：US15162663

    申请日：2016-05-24

    申请人： Algotec Systems Ltd.

    发明人： Oranit D. Dror ,  Guy E. Engelhard

    IPC分类号： G06T7/00

    CPC分类号： G06T7/12 ,  G06T2207/10081 ,  G06T2207/20156 ,  G06T2207/30004

    摘要： Spatial segmentation of lymph nodes in a 3-D medical image is automatically determined, based on a set of inputs provided by a user which define a low number of initial conditions for segmentation. In some embodiments, the automation comprises producing a lymph node segmentation from the 3-D image based on a 2-D image slice and a representative line segment on that slice. In some embodiments, segmentation comprises a two tiered approach (2-D segmentation, followed by 3-D segmentation) based on adaptation of the level set framework to the particular conditions of lymph node segmentation.

    摘要翻译： 基于由用户提供的一组定义少量初始条件用于分割的自动确定3-D医学图像中的淋巴结的空间分割。 在一些实施例中，自动化包括基于2-D图像切片和该切片上的代表性线段从3-D图像产生淋巴结分割。 在一些实施例中，基于水平集框架对淋巴结分割的特定条件的适应，分割包括两层分割方法（2-D分割，随后是3-D分割）。