Patents Examined by Jon Chang
  • Patent number: 11610304
    Abstract: Embodiments discussed herein facilitate building and/or employing a clinical-radiomics score for determining tumor prognoses based on a combination of a radiomics risk score generated by a machine learning model and clinico-pathological factors. One example embodiment can perform actions comprising: accessing a medical imaging scan of a tumor; segmenting a peri-tumoral region around the tumor; extracting one or more intra-tumoral radiomic features from the tumor and one or more peri-tumoral radiomic features from the peri-tumoral region; providing the one or more intra-tumoral radiomic features and the one or more peri-tumoral radiomic features to a trained machine learning model; receiving a radiomic risk score (RRS) associated with the tumor from the machine learning model; determining a clinical-radiomics score based on the RRS and one or more clinico-pathological factors; and generating a prognosis for the tumor based on the clinical-radiomics score.
    Type: Grant
    Filed: October 12, 2020
    Date of Patent: March 21, 2023
    Assignee: Case Western Reserve University
    Inventors: Pranjal Vaidya, Anant Madabhushi, Kaustav Bera
  • Patent number: 11593933
    Abstract: Methods and systems are provided for assessing image quality of ultrasound images. In one example, a method includes determining a probe position quality parameter of an ultrasound image, the probe position quality parameter representative of a level of quality of the ultrasound image with respect to a position of an ultrasound probe used to acquire the ultrasound image, determining one or more acquisition settings quality parameters of the ultrasound image, each acquisition settings quality parameter representative of a respective level of quality of the ultrasound image with respect to a respective acquisition setting used to acquire the ultrasound image, and providing feedback to a user of the ultrasound system based on the probe position quality parameter and/or the one or more acquisition settings quality parameters, the probe position quality parameter and each acquisition settings quality parameter determined based on output from separate image quality assessment models.
    Type: Grant
    Filed: March 16, 2020
    Date of Patent: February 28, 2023
    Assignee: GE Precision Healthcare LLC
    Inventors: Krishna Seetharam Shriram, Rahul Venkataramani, Aditi Garg, Chandan Kumar Mallappa Aladahalli
  • Patent number: 11581088
    Abstract: A method is for providing respiratory information. In an embodiment, the method includes receiving imaging data relating to a lung; calculating a perfusion fraction for each respective region of a set of regions of the lung, based on the imaging data; calculating a respective ventilation value for each respective region of the set of regions of the lung based on the imaging data; calculating a weighted average of respective ventilation values across all respective regions of the set of regions of the lung, wherein for each respective region of the set of regions of the lung, the respective ventilation value of the respective region is weighted with the perfusion fraction of the respective region; generating the respiratory information based on the weighted average of the respective ventilation values; and providing the respiratory information.
    Type: Grant
    Filed: December 10, 2021
    Date of Patent: February 14, 2023
    Assignee: SIEMENS HEALTHCARE GMBH
    Inventor: Sebastian Schmidt
  • Patent number: 11562585
    Abstract: A method and apparatus of a device that classifies an image is described. In an exemplary embodiment, the device segments the image into a region of interest that includes information useful for classification and a background region by applying a first convolutional neural network. In addition, the device tiles the region of interest into a set of tiles. For each tile, the device extracts a feature vector of that tile by applying a second convolutional neural network, where the features of the feature vectors represent local descriptors of the tile. Furthermore, the device processes the extracted feature vectors of the set of tiles to classify the image.
    Type: Grant
    Filed: February 23, 2021
    Date of Patent: January 24, 2023
    Assignees: OWKIN, INC., OWKIN FRANCE SAS
    Inventors: Pierre Courtiol, Olivier Moindrot, Charles Maussion, Charlie Saillard, Benoit Schmauch, Gilles Wainrib
  • Patent number: 11562490
    Abstract: Systems and methods for generating object segmentations across videos are provided. An example system can enable an annotator to identify objects within a first image frame of a video sequence by clicking anywhere within the object. The system processes the first image frame and a second, subsequent, image frame to assign each pixel of the second image frame to one of the objects identified in the first image frame or the background. The system refines the resulting object masks for the second image frame using a recurrent attention module based on contextual features extracted from the second image frame. The system receives additional user input for the second image frame and uses the input, in combination with the object masks for the second image frame, to determine object masks for a third, subsequent, image frame in the video sequence. The process is repeated for each image in the video sequence.
    Type: Grant
    Filed: November 17, 2021
    Date of Patent: January 24, 2023
    Assignee: UATC, LLC
    Inventors: Namdar Homayounfar, Wei-Chiu Ma, Raquel Urtasun
  • Patent number: 11557024
    Abstract: Provided is a processing apparatus including a processing unit that is connected to a data bus, and performs control involved with an image which is output by each of a plurality of image sensors connected to the data bus, through the data bus.
    Type: Grant
    Filed: September 17, 2020
    Date of Patent: January 17, 2023
    Assignee: Sony Semiconductor Solutions Corporation
    Inventors: Hideki Mitsubayashi, Takashi Yokokawa, Naoki Yoshimochi
  • Patent number: 11532078
    Abstract: Methods and systems for identifying optimized ablation targets for treating and preventing arrhythmias sustained by reentrant circuits are described. The methods comprise receiving at least one mesh generated from one or more images of a patient's heart, receiving activation data generated from one or more simulations of electrical-signal propagation over the at least one mesh, generating at least one flow graph based on the activation data and the at least one mesh, and applying a max-flow min-cut algorithm to the at least one flow graph to determine at least one of a number, one or more dimensions, and one or more locations of one or more ablation targets. Non-transitory computer-readable media storing a set of instructions for treating and preventing arrhythmias sustained by reentrant circuits are also described.
    Type: Grant
    Filed: May 12, 2020
    Date of Patent: December 20, 2022
    Assignee: CardioSolv Ablation Technologies, Inc.
    Inventor: Robert Clayton Blake, III
  • Patent number: 11532082
    Abstract: A system includes an input device and a processor. The processor is configured to add, to a point cloud representing an anatomical volume, multiple points corresponding to respective locations of a probe within the anatomical volume, to remove a subset of the points from the point cloud in response to an input received via the input device, subsequently to adding the points, and to add, to the point cloud, other points corresponding to respective subsequent locations of the probe within the anatomical volume, subsequently to removing the subset. Other embodiments are also described.
    Type: Grant
    Filed: August 31, 2020
    Date of Patent: December 20, 2022
    Assignee: Biosense Webster (Israel) Ltd.
    Inventors: Assaf Cohen, Fady Massarwa
  • Patent number: 11521317
    Abstract: Provided is a method for analyzing a tissue specimen, including treating a tissue specimen with an aqueous clearing agent and with at least two fluorescent probes to obtain a cleared and labeled tissue specimen; imaging the cleared and labeled tissue specimen to generate a three-dimensional (3D) image of the tissue specimen; preparing a stained tissue section from the cleared and labeled tissue specimen; capturing a reference two-dimensional (2D) image of the stained tissue section; matching the reference 2D image with the 3D image to extract from the 3D image a series of 2D image slices including a corresponding 2D image slice that corresponds to the reference 2D image; and determining at least one pathological score for each of the series of 2D image slices and reporting the presence or absence and the extent of the disease based on the pathological scores. The method can improve the accuracy of histopathologic diagnosis.
    Type: Grant
    Filed: June 3, 2020
    Date of Patent: December 6, 2022
    Inventors: Ann-Shyn Chiang, Dah-Tsyr Chang, Jia-Ling Yang, Yen-Yin Lin, Yu-Chieh Lin
  • Patent number: 11521315
    Abstract: Disclosed is a fluorescence image analyzer for measuring and analyzing a sample that includes a plurality of cells in which target portions are labeled with fluorescent dyes, and the fluorescence image analyzer includes a light source configured to apply light to the sample; an imaging unit configured to take a fluorescence image of each of the cells by which fluorescence is generated by applying the light; a processing unit configured to process the fluorescence image having been taken; and a display unit.
    Type: Grant
    Filed: March 26, 2020
    Date of Patent: December 6, 2022
    Assignee: SYSMEX CORPORATION
    Inventor: Momoko Imakubo
  • Patent number: 11514573
    Abstract: Described herein are neural network-based systems, methods and instrumentalities associated with estimating a thickness of an anatomical structure based on a visual representation of the anatomical structure and a machine-learned thickness prediction model. The visual representation may include an image or a segmentation mask of the anatomical structure. The thickness prediction model may be learned based on ground truth information derived by applying a partial differential equation such as Laplace's equation to the visual representation and solving the partial differential equation. When the visual representation includes an image of the anatomical structure, the systems, methods and instrumentalities described herein may also be capable of generating a segmentation mask of the anatomical structure based on the image.
    Type: Grant
    Filed: September 8, 2020
    Date of Patent: November 29, 2022
    Assignee: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
    Inventors: Qiaoying Huang, Shanhui Sun, Zhang Chen, Terrence Chen
  • Patent number: 11501520
    Abstract: Techniques for automatically determining, on a pixel by pixel basis, whether imagery includes ground images or is obscured by cloud cover. The techniques include training a Neural Network, making an initial determination of cloud or ground by using the Neural Network, and performing a max-flow, min-cut operation on the image to determine whether each pixel is a cloud or ground imagery.
    Type: Grant
    Filed: June 15, 2020
    Date of Patent: November 15, 2022
    Assignee: Maxar Intelligence Inc.
    Inventor: Michael Aschenbeck
  • Patent number: 11494961
    Abstract: A sticker generating method is provided. The method includes: acquiring a background image, where the background image includes a target object; displaying a display area of a sticker and an anchor point of the sticker in the background image; receiving an import instruction for the sticker; importing a resource of the sticker according to the import instruction and displaying the resource of the sticker in the display area of the sticker; dynamically selecting a tracking area based on a position of the anchor point of the sticker, where the tracking area is an image area in the target object; and generating the sticker based on the display area, the tracking area, and the resource of the sticker.
    Type: Grant
    Filed: December 22, 2021
    Date of Patent: November 8, 2022
    Assignee: BEIJING BYTEDANCE NETWORK TECHNOLOGY CO., LTD.
    Inventor: Yantong Wei
  • Patent number: 11495051
    Abstract: A service device processes a service request using account information of a user. The service device captures a first image of the user, generates a first user facial template based on the first image, and transmits the first user facial template with the account information to a service processing system. The user arrives at the service device to initiate a subsequent service request. The service device captures a second image of the user and generates a second user facial template based on the second image and searches for the first facial template matching the generated second facial template. The service device transmits a first stored matching facial template to the service processing system and a request for account information. The service device receives stored account information associated with the stored first facial template from the service processing system. The service device processes the subsequent service request using the account information.
    Type: Grant
    Filed: November 1, 2019
    Date of Patent: November 8, 2022
    Assignee: GOOGLE LLC
    Inventor: William Setchell
  • Patent number: 11484245
    Abstract: Techniques for automatic association between physical and visual skin properties are provided. A computer system receives a two-dimensional (2D) image and a three-dimensional (3D) image associated with a person and determines surface skin properties using the 2D image and physical skin properties using the 3D image. The computer system generates a skin disorder severity assessment using associations between the surface skin properties and the physical skin properties.
    Type: Grant
    Filed: March 5, 2020
    Date of Patent: November 1, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Yasmeen Mourice George, Lenin Mehedy, Rahil Garnavi
  • Patent number: 11481898
    Abstract: Systems and methods are disclosed for receiving digital images of a pathology specimen from a patient, the pathology specimen comprising tumor tissue, the one or more digital images being associated with data about a plurality of biomarkers in the tumor tissue and data about a surrounding invasive margin around the tumor tissue; identifying the tumor tissue and the surrounding invasive margin region to be analyzed for each of the one or more digital images; generating, using a machine learning model on the one or more digital images, at least one inference of a presence of the plurality of biomarkers in the tumor tissue and the surrounding invasive margin region; determining a spatial relationship of each of the plurality of biomarkers identified in the tumor tissue and the surrounding invasive margin region to themselves and to other cell types; and determining a prediction for a treatment outcome and/or at least one treatment recommendation for the patient.
    Type: Grant
    Filed: November 4, 2021
    Date of Patent: October 25, 2022
    Assignee: Paige.AI, Inc.
    Inventors: Belma Dogdas, Christopher Kanan, Thomas Fuchs, Leo Grady
  • Patent number: 11481896
    Abstract: A method of analysing data from an angiographic scan that provides three-dimensional information about blood vessels in a patient's brain, the method comprising the steps of: processing the data (26) to produce a three-dimensional image; extracting the system of blood vessels inside the skull, so as to obtain a vessel mask (28); skeletonising (30) the vessel mask with a thinning algorithm to produce a skeleton mask performing a central plane extraction; analysing (32) the skeleton mask to identify voxels that have more than two neighbours, indicating a fork, bifurcation or branch; detecting the most proximal location of each of the three main supplying arteries of the head in the skeleton mask to identify starting positions; and then starting from each starting position in turn, and walking along the line representing the corresponding blood vessel to detect (34) a plurality of anatomical markers within the network of blood vessels.
    Type: Grant
    Filed: June 11, 2020
    Date of Patent: October 25, 2022
    Inventors: Rafael Namias, Olivier Joly, Eric Greveson
  • Patent number: 11471058
    Abstract: Provided are a diagnostic device and a diagnostic method for predicting fractional flow reserve (FFR) and diagnosing coronary artery lesions via a coronary angiography-based machine learning algorithm. A deep learning-based diagnostic method for diagnosing an ischemic lesion includes: obtaining an angiography image of a patient's blood vessel; extracting a region of interest (ROI) from the angiography image; acquiring diameter information of the blood vessel in the ROI; extracting morphological features of the blood vessel based on the diameter information; and obtaining a predictive FFR value by inputting the morphological features to an artificial intelligence (AI) model and determining whether a lesion is an ischemic lesion.
    Type: Grant
    Filed: August 5, 2020
    Date of Patent: October 18, 2022
    Assignees: THE ASAN FOUNDATION, UNIVERSITY OF ULSAN FOUNDATION FOR INDUSTRY COOPERATION
    Inventors: Soo Jin Kang, June Goo Lee, Hyung Joo Cho
  • Patent number: 11449972
    Abstract: The present invention concerns identifying matching tissue objects in two sections of a tissue block, as imaged using a microscope, for the purpose of mapping the biomarker-specific staining in one section onto the other section. The invention is useful because, in many workflows, it is not possible to add a sufficient number of different biomarker-specific stains to a single slide. By staining instead multiple slides, and mapping the staining data obtained across the slides, one obtains a data set that is similar to what one would be able to obtain by staining a single slide with all those stains. The invention first identifies a set of obviously correct matches, then propagates from those matches, using a priority queue driven process, to optimally match up all fibers in the two sections. The matching is based on the shape and neighborhood configuration of each tissue object.
    Type: Grant
    Filed: October 14, 2019
    Date of Patent: September 20, 2022
    Assignee: Flagship Biosciences, Inc
    Inventor: Cris L. Luengo Hendriks
  • Patent number: 11443464
    Abstract: The present disclosure provides a method of volumetric imaging of a sample. The method comprises providing a plurality of depth images of a region of interest of the sample using a volumetric imaging system. The region of interest is below a surface area of interest of the sample. Each depth image is associated with a layer or slice of the region of interest and the plurality of depth images together forming a volumetric image of the region of interest. The method further comprises providing a surface image of the surface area of interest of the sample and identifying a surface image property of a surface feature of the surface area of interest. The method also comprises processing the plurality of depth images of the region of interest using the surface image property of the surface feature to improve a property of the depth images of the region of interest.
    Type: Grant
    Filed: September 18, 2018
    Date of Patent: September 13, 2022
    Assignee: OncoRes Medical Pty Ltd
    Inventors: Brendan Kennedy, Brooke Krajancich, Qi Fang, Andrea Curatolo