Patents Assigned to Algotec Systems Ltd.
  • Patent number: 10213178
    Abstract: 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.
    Type: Grant
    Filed: September 18, 2017
    Date of Patent: February 26, 2019
    Assignee: Algotec Systems Ltd.
    Inventor: Ohad Silbert
  • Patent number: 10217238
    Abstract: A method of segmenting one or more soft tissue organs in a 3-D medical image includes registering the image to a bone atlas which also lists landmarks of the organs. Voxels of the image are identified as corresponding to listed landmarks of the organs, based on their position relative to one or more known bones in the registered image. At least one organ is segmented using at least one of the voxels identified as belonging to that organ as a starting point.
    Type: Grant
    Filed: May 20, 2010
    Date of Patent: February 26, 2019
    Assignee: Algotec Systems Ltd.
    Inventors: Yaron Ostrovsky-Berman, Hadar Porat, Tiferet Ahavah Gazit
  • Patent number: 10083515
    Abstract: A method for segmenting a medical image. The method comprises providing a registration of a medical image depicting a plurality of bones with a skeletal atlas mapping an exemplary skeletal structure having a plurality of exemplary bones, identifying at least one component having at least one anatomical characteristic indicative of a predefined organ in the medical image, each the at least one component depicting at least one of the plurality of bones, and segmenting at least one region of interest (ROI) around the at least one component within the medical image according to at least one respective the exemplary bone pertaining to the predefined organ.
    Type: Grant
    Filed: November 24, 2009
    Date of Patent: September 25, 2018
    Assignee: Algotec Systems Ltd.
    Inventors: Yaron Ostrovsky-Berman, Tiferet Ahavah Gazit
  • Patent number: 10068340
    Abstract: 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.
    Type: Grant
    Filed: January 22, 2015
    Date of Patent: September 4, 2018
    Assignee: Algotec Systems Ltd.
    Inventors: Ohad Silbert, Reuven Shreiber, Guy Engelhard, Hadar Porat, Tiferet Gazit
  • Patent number: 10001918
    Abstract: A system and method for controlling a standalone computer through a separate touch screen input device.
    Type: Grant
    Filed: November 19, 2013
    Date of Patent: June 19, 2018
    Assignee: Algotec Systems Ltd.
    Inventor: Ron Grosberg
  • Patent number: 9996922
    Abstract: 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.
    Type: Grant
    Filed: April 8, 2016
    Date of Patent: June 12, 2018
    Assignee: Algotec Systems Ltd.
    Inventor: Tiferet Gazit
  • Patent number: 9990712
    Abstract: A method of segmenting a target organ of the body in medical images, the method comprising: providing a probabilistic atlas with probabilities for a presence of the target organ at different locations relative to a bounding region of the target organ; providing one or more medical test images; for each test image, identifying, at least provisionally, a location of a bounding region for the target organ in the test image; and for each test image, using the probabilities from the probabilistic atlas to segment the target organ in the test image, with the segmenting performed by a data processor.
    Type: Grant
    Filed: March 31, 2016
    Date of Patent: June 5, 2018
    Assignee: Algotec Systems Ltd.
    Inventor: Tiferet Gazit
  • Patent number: 9978150
    Abstract: 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.
    Type: Grant
    Filed: May 24, 2016
    Date of Patent: May 22, 2018
    Assignee: Algotec Systems Ltd.
    Inventors: Oranit Dror, Guy Engelhard
  • Patent number: 9679389
    Abstract: A method of analyzing structure of a network of vessels in a medical image, comprising: receiving the medical image depicting the network of vessels; obtaining a mask of the network of vessels in the image; and generating a non-forest graph mapping a plurality of paths of vessels in the network to directed paths in the graph, with each edge in the graph either directed to indicate a known direction of flow in the corresponding vessel, or undirected to indicate a lack of knowledge of direction of flow in the corresponding vessel, and with all directed edges in a path directed in a same direction as the path.
    Type: Grant
    Filed: May 18, 2010
    Date of Patent: June 13, 2017
    Assignee: Algotec Systems Ltd.
    Inventors: Yaron Ostrovsky-Berman, Hadar Porat, Tiferet A. Gazit, Oranit Dror
  • Patent number: 9280815
    Abstract: A method for a rapid automated presentation of at least two radiological data sets of a patient, comprising, (a) automatically registering the data sets in 3D space; and (b) concurrently presenting substantially matching anatomical regions in each data set.
    Type: Grant
    Filed: November 22, 2007
    Date of Patent: March 8, 2016
    Assignee: Algotec Systems Ltd.
    Inventors: Michael Slutsky, Shmuel Akerman, Reuven Shreiber
  • Patent number: 9275437
    Abstract: A system and method for performing DSA (digital subtraction angiography), which does not require a non-enhanced or “mask” image to be obtained.
    Type: Grant
    Filed: March 14, 2013
    Date of Patent: March 1, 2016
    Assignee: Algotec Systems Ltd.
    Inventors: Reuven R. Shreiber, Guy E. Engelhard
  • Patent number: 9218661
    Abstract: A system and method for automatic detection of an object feature, such as a lesion, across a plurality of sets of image data, taken from the same subject, which may optionally be a human patient but which may also optionally be any type of animal or a non-biological subject.
    Type: Grant
    Filed: April 5, 2012
    Date of Patent: December 22, 2015
    Assignee: Algotec Systems Ltd.
    Inventors: Tiferet T. Gazit, Yosef Y. Markov, Uri U. Einav, Hadas H. Padan, Guy E. Engelhard
  • Patent number: 8983189
    Abstract: A method for error correction for segmented three dimensional image data. The method includes receiving segmented three dimensional image data, the segmented three dimensional image data being divided into a plurality of slices; correcting at least one contour of the segmented three dimensional image data on at least one slice according to a command from a user to form a corrected contour; and automatically interpolating a correction represented by the corrected contour to a plurality of slices of the segmented three dimensional image data.
    Type: Grant
    Filed: February 7, 2012
    Date of Patent: March 17, 2015
    Assignee: Algotec Systems Ltd.
    Inventors: Oranit D. Dror, Amir A. Yaakobi, Uri U. Einav, Guy E. Engelhard
  • Patent number: 8953856
    Abstract: A method for registering a medical image with a model mapping a skeletal structure. The method comprises receiving a medical image depicting a plurality of bones, providing a statistical model mapping a reference skeletal structure having a plurality of reference anatomical elements, and registering medical image with the statistical model according to at least one constraint defined by the plurality of reference anatomical elements.
    Type: Grant
    Filed: November 24, 2009
    Date of Patent: February 10, 2015
    Assignee: Algotec Systems Ltd.
    Inventor: Yaron Ostrovsky-Berman
  • Patent number: 8934686
    Abstract: A method, performed by a computer, of facilitating selection by a user of one path from a set of directed paths in an image, partly overlapping but not constituting a directed tree structure, each path beginning at a root and ending at an end point, the method comprising: a) receiving from the user an indication of a specified location in the image; b) identifying a specified path part that best matches the indication of the specified location; and c) suggesting primarily a single path chosen from among two or more paths in the set which include the specified path part, but do not all follow a same route before the specified path part, and at least one of which separates from another path somewhere along its length.
    Type: Grant
    Filed: November 24, 2010
    Date of Patent: January 13, 2015
    Assignee: Algotec Systems Ltd.
    Inventors: Yaron Ostrovsky-Berman, Hadar Porat, Oranit Dror, Tiferet Ahavah Gazit, Michael Slutsky
  • Publication number: 20140139465
    Abstract: A system and method for controlling a standalone computer through a separate touch screen input device.
    Type: Application
    Filed: November 19, 2013
    Publication date: May 22, 2014
    Applicant: Algotec Systems Ltd.
    Inventor: Ron R. Grosberg
  • Patent number: 8509502
    Abstract: An image analysis system comprising: (a) an image input module adapted to receive a medical image; and (b) an analytic module adapted to segment the image, identify a plurality of vertebrae and label each vertebra.
    Type: Grant
    Filed: November 23, 2007
    Date of Patent: August 13, 2013
    Assignee: Algotec Systems Ltd.
    Inventors: Hadar Porat, Shmuel Akerman, Hadas Padan
  • Patent number: 8494240
    Abstract: A method of centerline determination for a tubular tissue in a medical image data set defined in a data space, comprising receiving at least one start point and one end point inside a tubular tissue volume; automatically determining a path between said points that remains inside said volume; automatically segmenting said tubular tissue using said path; and automatically determining a centerline for said tubular tissue from said segmentation, wherein said receiving, said determining a path and said segmenting, said determining a centerline are all performed on a same data space of said medical image data set.
    Type: Grant
    Filed: July 23, 2012
    Date of Patent: July 23, 2013
    Assignee: Algotec Systems Ltd.
    Inventors: Ido Milstein, Shmuel Akerman, Gad Miller, Laurent Cohen
  • Patent number: 8352174
    Abstract: A method of finding a path from a start point to a target point, in multi-dimensional space, including: (a) determining a plurality of points in a physical space, including a start point and an target point; (b) computing, using a cost function, for said points an accumulated path cost from the start point to a point; representing a minimal cost path from the start point to the point with respect to an optimization criteria; (c) computing for at least some of said points an estimated-cost-to-target from a point to the target point; and (d) after computing said costs, determining at least one of a minimal path or a minimal path cost of a path from the start point to the target point in the physical space, wherein the determination is based on said accumulated path costs, and is minimal with respect to the optimization criteria.
    Type: Grant
    Filed: December 26, 2004
    Date of Patent: January 8, 2013
    Assignee: Algotec Systems Ltd.
    Inventors: Ido Milstein, Shmuel Akerman, Gad Miller
  • Publication number: 20120288181
    Abstract: A method of centerline determination for a tubular tissue in a medical image data set defined in a data space, comprising receiving at least one start point and one end point inside a tubular tissue volume; automatically determining a path between said points that remains inside said volume; automatically segmenting said tubular tissue using said path; and automatically determining a centerline for said tubular tissue from said segmentation, wherein said receiving, said determining a path and said segmenting, said determining a centerline are all performed on a same data space of said medical image data set.
    Type: Application
    Filed: July 23, 2012
    Publication date: November 15, 2012
    Applicant: Algotec Systems Ltd.
    Inventors: Ido MILSTEIN, Shmuel Akerman, Gad Miller, Laurent Cohen