Patents Examined by Atiba O Fitzpatrick
  • Patent number: 11645767
    Abstract: Systems and method for providing misaligned image features. A method includes receiving a first and a second image data set, wherein the first and the second image data sets map at least partially a shared examination region of an examination object, registering the first image data set with the second image data set, determining a distance data set based on the registered first image data set and the second image data set, identifying the misaligned image features in the distance data set that are caused by a misalignment between the registered first and the second image data sets, and providing the identified misaligned image features.
    Type: Grant
    Filed: November 11, 2020
    Date of Patent: May 9, 2023
    Assignee: Siemens Healthcare GmbH
    Inventors: Christian Kaethner, Boris Stowasser
  • Patent number: 11645839
    Abstract: An apparatus and method for lane feature detection from an image is performed according to predetermined path geometry. An image including at least one path is received. The image may be an aerial image. Map data, corresponding to the at least one path and defining the predetermined path geometry is selected. The image is modified according to the selected map data including the predetermined path geometry. A lane feature prediction model is generated or configured based on the modified image. A subsequent image is provided to the lane feature prediction model for a prediction of at least one lane feature.
    Type: Grant
    Filed: May 11, 2021
    Date of Patent: May 9, 2023
    Assignee: HERE Global B.V.
    Inventor: Abhilshit Soni
  • Patent number: 11640661
    Abstract: Risk prediction models are trained and deployed to analyze images, such as computed tomography scans, for predicting future risk of lung cancer for one or more subjects. Individual risk prediction models are separately trained on nodule-specific and non-nodule specific features such that each risk prediction model can predict future risk of lung cancer across different time periods (e.g., 1 year, 3 years, or 5 years). Such risk prediction models are useful for developing preventive therapies for lung cancer by enabling clinical trial enrichment.
    Type: Grant
    Filed: January 15, 2021
    Date of Patent: May 2, 2023
    Assignee: Johnson & Johnson Enterprise Innovation Inc.
    Inventors: George R. Washko, Jr., Christopher Scott Stevenson, Samuel Yoffe Ash, Raul San Jose Estepar, Matthew David Mailman
  • Patent number: 11636599
    Abstract: Various image diagnostic systems, and methods of operating thereof, are disclosed herein. Example embodiments relate to operating the image diagnostic system to identify one or more tissue types within an image patch according to a hierarchical histological taxonomy, identifying an image patch associated with normal tissue, generating a pixel-level segmented image patch for an image patch, generating an encoded image patch for an image patch of at least one tissue, searching for one or more histopathological images, and assigning an image patch to one or more pathological cases.
    Type: Grant
    Filed: September 14, 2022
    Date of Patent: April 25, 2023
    Assignee: Huron Technologies International Inc.
    Inventors: Mahdi S. Hosseini, Konstantinos N. Plataniotis, Lyndon Chan, Jasper Hayes, Savvas Damaskinos
  • Patent number: 11635389
    Abstract: A method for quantitatively measuring internal defects in an as-cast steel product includes optically scanning at least a portion of a surface of the steel product with a scanning device to create a digital image thereof, analyzing the digital image to calculate a quantitative value for an amount of internal defects therein, and normalizing the quantitative value to a rating according to a standardized scale.
    Type: Grant
    Filed: September 21, 2020
    Date of Patent: April 25, 2023
    Assignee: SSAB Enterprises, LLC
    Inventors: Sunday O. Abraham, Yufeng Wang, Justin P. Raines, Richard L. Bodnar, Jason E. Thomas, Steven S. Hansen
  • Patent number: 11635364
    Abstract: Provided is an observation device including: a stereo image-acquisition optical system that acquires images of cells floating in a culture fluid inside a culture vessel; and an analyzer that calculates a cell density of the cells on the basis of the images acquired by the stereo image-acquisition optical system, wherein the analyzer identifies a three-dimensional position of each of the cells included in the images and calculates the cell density on the basis of the number of cells present within a predetermined three-dimensional region.
    Type: Grant
    Filed: November 23, 2020
    Date of Patent: April 25, 2023
    Inventor: Tadashi Hirata
  • Patent number: 11631182
    Abstract: Systems, devices, methods, and computer processing products for automatically checking for errors in segmentation (contouring) using heuristic and/or statistical evaluation methods.
    Type: Grant
    Filed: February 16, 2021
    Date of Patent: April 18, 2023
    Inventors: Thomas Albrecht, Peter Hess, Nawal Houhou
  • Patent number: 11631171
    Abstract: Automated, machine learning-based systems are described for the analysis and annotation (i.e., detection or delineation) of prostate cancer (PCa) on histologically-stained pathology slides of prostatectomy specimens. A technical framework is described for automating the annotation of predicted PCa that is based on, for example, automated spatial alignment and colorimetric analysis of both H&E and IHC whole-slide images (WSIs). The WSIs may, as one example, be stained with a particular triple-antibody cocktail against high-molecular weight cytokeratin (HMWCK), p63, and ?-methylacyl CoA racemase (AMACR).
    Type: Grant
    Filed: January 8, 2020
    Date of Patent: April 18, 2023
    Assignee: Regents of the University of Minnesota
    Inventors: Ethan Yize Leng, Gregory John Metzger, Joseph S. Koopmeiners, Jonathan Henriksen, Stephen C. Schmechel
  • Patent number: 11631489
    Abstract: Disclosed are a cranial CT-based grading method and a corresponding system, which relate to the field of medical imaging. The cranial CT-based grading method as disclosed solves the problems of relatively great subjective disparities and poor operability in eye-balling ASPECTS assessment. The grading method includes: extracting target areas from to-be-processed multi-frame cranial CT data; performing infarct judgment on each target area included in the target areas to output an infarct judgment outcome regarding the target area; and outputting a grading outcome based on infarct judgment outcomes regarding all target areas. The grading method and system as disclosed may eliminate or mitigate the diagnosis disparities caused by human factors and imaging deviations due to different imaging equipment, and shorten the time taken by human observation, consideration, and bared-eye grading, thereby serving as a computer-aided method to provide reference for medical studies on stroke.
    Type: Grant
    Filed: November 14, 2019
    Date of Patent: April 18, 2023
    Inventors: Guangming Yang, Hailan Jin, Ling Song, Yin Yin, Yangyang Yao, Lan Qin
  • Patent number: 11624685
    Abstract: The present disclosure provides methods of preparing a biological specimen for imaging analysis, comprising fixing and clearing the biological specimen and subsequently analyzing the cleared biological specimen using microscopy. Also included are methods of quantifying cells, for example, active populations of cells in response to a stimulant. The present disclosure also provides devices for practicing the described methods. A flow-assisted clearing device provides rapid clearing of hydrogel-embedded biological specimens without the need of specialized equipment such as electrophoresis or perfusion devices.
    Type: Grant
    Filed: October 22, 2019
    Date of Patent: April 11, 2023
    Assignee: The Board of Trustees of the Leland Sanford Junior Univeristy
    Inventors: Karl A. Deisseroth, William E. Allen, Brian Hsueh, Li Ye
  • Patent number: 11607189
    Abstract: The present invention relates to a blood vessel image processing method, a blood vessel image processing apparatus, a computer storage medium, and an imaging device. The method includes: obtaining blood vessel geometric structure information of a blood vessel segment of interest; obtaining vital feature information of the blood vessel segment; establishing an association relationship between the blood vessel geometric structure information and the vital feature information; and displaying the blood vessel geometric structure information and the vital feature information in the same image in a mutual fusion manner by using the association relationship as a reference. In this way, work efficiency of users can be improved by the solution.
    Type: Grant
    Filed: September 3, 2018
    Date of Patent: March 21, 2023
    Inventors: Shengxian Tu, Wei Yu, Jiayue Huang, Su Zhang, Xiaogang Fu
  • Patent number: 11600000
    Abstract: An image processing method includes: calculating an area of a first label of a first medical image of a plurality of medical images with a plurality of labels; obtaining a first determination result based on whether the area of the first label is greater than a threshold value; obtaining a second determination result based on whether a second medical image of the medical images adjacent to the first medical image includes a second label overlapping a first projection area of the first label on the second medical image; and selectively deleting the first label on the first medical image according to the first determination result and the second determination result. The present disclosure further provides an image processing system to perform the image processing method.
    Type: Grant
    Filed: December 23, 2020
    Date of Patent: March 7, 2023
    Assignee: HTC Corporation
    Inventors: Hao-Jen Wang, Fu-Chieh Chang, Edzer Lienson Wu
  • Patent number: 11599991
    Abstract: Some embodiments are directed to a process for quantifying changes in the intestinal mucosa caused by a chronic inflammatory intestinal disease in individuals, an ex vivo process for diagnosing a chronic inflammatory intestinal disease in individuals, and an ex vivo process for the differential diagnosis of Crohn's disease versus ulcerative colitis in individuals.
    Type: Grant
    Filed: March 15, 2017
    Date of Patent: March 7, 2023
    Inventors: Jérémy Brégeon, Michel Neunlist, Emmanuel Coron
  • Patent number: 11593814
    Abstract: Techniques are provided detecting diluted drugs using machine learning. Measurements and images corresponding to a product are obtained, wherein the product is formulated as a liquid, and wherein the measurements and images capture physical, spectral, optical, and/or chemical properties of the product. The measurements and images are provided to a machine learning model, wherein the machine learning model is trained using data generated from interactive learning modules (e.g., a generative adversarial network). The machine learning model detects whether the product or chemical is a real or counterfeit product. In addition, these techniques may be used by practitioners (e.g., medical personnel dispensing a prescribed dosage of a drug with a specific dilution level) to detect prescription errors at the point of administration.
    Type: Grant
    Filed: April 17, 2020
    Date of Patent: February 28, 2023
    Assignee: MERATIVE US L.P.
    Inventors: Ramani R. Routray, Venkat K. Balagurusamy, Ashwin Dhinesh Kumar, Donna N Eng Dillenberger, Bruce Light Hillsberg, Mark Dudman
  • Patent number: 11583239
    Abstract: A new chest X-ray database, referred to as “ChestX-ray8”, is disclosed herein, which comprises over 100,000 frontal view X-ray images of over 32,000 unique patients with the text-mined eight disease image labels (where each image can have multi-labels), from the associated radiological reports using natural language processing. We demonstrate that these commonly occurring thoracic diseases can be detected and spatially-located via a unified weakly supervised multi-label image classification and disease localization framework, which is validated using our disclosed dataset.
    Type: Grant
    Filed: March 26, 2018
    Date of Patent: February 21, 2023
    Assignee: The United States of America, as represented by the Secretary, Department of Health and Human Service
    Inventors: Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers
  • Patent number: 11580643
    Abstract: A system for facilitating medical image interpretation includes a processing unit and a display control unit. The processing unit includes a location information module generating a reference location indicator, and a feature marking module generating indication markers. The display control unit is in signal connection with the processing unit and a display device. The display control unit includes an image displaying module controlling the display device to display tissue images, and an auxiliary information displaying module controlling the display device to display, for each of the tissue images displayed by the display device, the reference location indicator and the indication markers together on the tissue image.
    Type: Grant
    Filed: September 30, 2020
    Date of Patent: February 14, 2023
    Assignee: V5 TECHNOLOGIES CO., LTD.
    Inventors: Chien-Chung Huang, Chien-Ting Yang, Tzu-Kuei Shen, Yu-Hsun Kao, Kuo-Tung Hung, Yueh-Heng Lee
  • Patent number: 11559273
    Abstract: A mammography apparatus includes a diagnostic image acquisition unit that acquires a diagnostic image in which a calcification as a biopsy target is marked; a scout image acquisition unit that acquires a scout image obtained by imaging a mamma undergoing the biopsy from a specific direction; and a display unit that highlights a calcification (candidate for biological tissue examination) in the scout image which matches at least the marked calcification in the diagnostic image.
    Type: Grant
    Filed: February 18, 2020
    Date of Patent: January 24, 2023
    Assignee: FUJIFILM Corporation
    Inventors: Takahisa Arai, Takeyasu Kobayashi, Shunsuke Kodaira
  • Patent number: 11557039
    Abstract: An image processing apparatus selects one or a plurality of examinations to which a medical image belongs, determines image processing candidate examinations based on the selected one or plurality of examinations, displays medical images belonging to the determined image processing candidate examinations on a display unit, and executes image processing using, of the displayed medical images, a plurality of medical images selected by a user, wherein, when the one examination is selected, the selected one examination and one or a plurality of examinations obtained by a search based on the selected one examination are determined as the image processing candidate examinations, and when the plurality of examinations are selected, in the determining, the selected plurality of examinations are determined as the image processing candidate examinations.
    Type: Grant
    Filed: October 1, 2020
    Date of Patent: January 17, 2023
    Assignee: Canon Kabushiki Kaisha
    Inventors: Itaru Otomaru, Toshimizu Yamane
  • Patent number: 11544854
    Abstract: Systems and methods are disclosed for performing operations comprising: receiving first and second images depicting an anatomy of a subject; obtaining a segmentation associated with the first image; applying a trained neural network to estimate the adapted segmentation corresponding to the anatomy depicted in the second image, the trained network consisting of three sub-networks: a registration sub-network, generating an initial segmentation estimate representing a deformation of the segmentation associated with the first image to fit the anatomy depicted in the second image, a segmentation sub-network, generating a second initial segmentation estimate for the second image, and a third refinement sub-network, combining the two initial segmentations and generating a refined segmentation for the second image.
    Type: Grant
    Filed: February 12, 2021
    Date of Patent: January 3, 2023
    Assignee: Elekta Limited
    Inventors: Philip P. Novosad, Silvain Beriault
  • Patent number: 11537459
    Abstract: Methods, apparatus, and processor-readable storage media for automatically predicting device failure using machine learning techniques are provided herein. An example computer-implemented method includes obtaining telemetry data from at least one client device; predicting failure of at least a portion of the at least one client device by processing at least a portion of the telemetry data using a first set of one or more machine learning techniques; predicting lifespan information pertaining to at least a portion of the at least one client device by processing the predicted failure and at least a portion of the telemetry data using a second set of one or more machine learning techniques; and performing at least one automated action based at least in part on one or more of the predicted failure and the predicted lifespan information.
    Type: Grant
    Filed: March 27, 2020
    Date of Patent: December 27, 2022
    Assignee: EMC IP Holding Company LLC
    Inventors: Parminder Singh Sethi, Hung T. Dinh, Bijan K. Mohanty