Patents Examined by Nay Maung
  • Patent number: 11328391
    Abstract: System and methods are provided for producing computed tomography (CT) images. In some aspects, a method includes obtaining medical image data sets acquired using the multiple energies of irradiating radiation and analyzing the medical image data sets for spatial and spectral features. The method also includes comparing the spatial and spectral features of the medical image data sets to identify similarities and using the similarities, weighting the medical image data sets to generate images of the subject having reduced noise compared to images of the subject produced from the medical image data sets without weighting.
    Type: Grant
    Filed: May 8, 2017
    Date of Patent: May 10, 2022
    Assignee: Mayo Foundation for Medical Education and Research
    Inventors: Zhoubo Li, Cynthia H. McCollough, Shuai Leng, Lifeng Yu, Armando Manduca
  • Patent number: 11308612
    Abstract: This disclosure generally pertains to systems and methods for detection of infectious respiratory diseases by implementation of an automated X-rays-based triage approach alongside algorithmic clinical sample pooling for molecular diagnosis. Certain embodiments relate to methods for the development of deep learning algorithms that perform machine recognition of specific features and conditions in chest X-ray imaging data. The chest X-ray imaging data is used to guide the pooling strategy of clinical samples for a molecular test.
    Type: Grant
    Filed: June 1, 2020
    Date of Patent: April 19, 2022
    Assignee: Qure.ai Technologies Private Limited
    Inventors: Preetham Putha, Manoj Tadepalli, Bhargava Reddy, Tarun Raj, Ammar Jagirdar, Pooja Rao, Prashant Warier
  • Patent number: 11308616
    Abstract: Systems and methods are disclosed for grouping cells in a slide image that share a similar target, comprising receiving a digital pathology image corresponding to a tissue specimen, applying a trained machine learning system to the digital pathology image, the trained machine learning system being trained to predict at least one target difference across the tissue specimen, and determining, using the trained machine learning system, one or more predicted clusters, each of the predicted clusters corresponding to a subportion of the tissue specimen associated with a target.
    Type: Grant
    Filed: August 2, 2021
    Date of Patent: April 19, 2022
    Assignee: PAIGE.AI, INC.
    Inventors: Rodrigo Ceballos Lentini, Christopher Kanan, Belma Dogdas
  • Patent number: 11308626
    Abstract: A system and method are provided for optimizing histogram cumulative distribution function curves. In use, a first cumulative distribution function for a first histogram of a first pixel region of a first image is computed, and a first set of parameters for the first cumulative distribution function is extracted. A second cumulative distribution function for a second histogram of a second pixel region of the first image is computed, and a second set of parameters for the second cumulative distribution function is extracted. An interpolated cumulative distribution function comprising interpolated parameters calculated by interpolating between the first set of parameters and the second set of parameters is created. Additionally, a first equalized pixel in a second image based on a first input pixel in the first image and the interpolated cumulative distribution function is generated.
    Type: Grant
    Filed: August 27, 2019
    Date of Patent: April 19, 2022
    Assignee: DUELIGHT LLC
    Inventors: William Guie Rivard, Brian J. Kindle, Adam Barry Feder
  • Patent number: 11301754
    Abstract: An information processing device and method for sharing of compressed training data for neural network training is provided. The information processing device receives a first image which includes an object of interest. The information processing device extracts, from the received first image, a region of interest which includes the object of interest. Once extracted, the extracted region of interest is provided to an input layer of N numbers of layers of a first neural network, trained on an object detection task. The information processing device selects an intermediate layer of the first neural network and extracts a first intermediate result as an output generated by the selected intermediate layer of the first neural network based on the input RoI. Once extracted, the information processing device shares the extracted first intermediate result as compressed training data with a server to train a second neural network on the object detection task.
    Type: Grant
    Filed: December 10, 2019
    Date of Patent: April 12, 2022
    Assignee: SONY CORPORATION
    Inventor: Nikolaos Georgis
  • Patent number: 11301975
    Abstract: An apparatus including a first memory area and a second memory area is provided with a control method including specifying one or a plurality of types of image processing to be applied in the first memory area, specifying a size of obtainment target image data as a predetermined size based on a memory capacity of the second memory area and a content of the specified one or plurality of types of image processing; and obtaining first divided image data having the specified predetermined size in predetermined image data.
    Type: Grant
    Filed: August 15, 2019
    Date of Patent: April 12, 2022
    Assignee: CANON KABUSHIKI KAISHA
    Inventor: Sho Fukuoka
  • Patent number: 11302009
    Abstract: A method of generating landmark locations for an image crop comprises: processing the crop through an encoder-decoder to provide a plurality of N output maps of comparable spatial resolution to the crop, each output map corresponding to a respective landmark of an object appearing in the image crop; processing an output map from the encoder through a plurality of feed forward layers to provide a feature vector comprising N elements, each element including an (x,y) location for a respective landmark. Any landmarks locations from the feature vector having an x or a y location outside a range for a respective row or column of the crop are selected for a final set of landmark locations; with remaining landmark locations tending to be selected from the N (x,y) landmark locations from the plurality of N output maps.
    Type: Grant
    Filed: August 19, 2019
    Date of Patent: April 12, 2022
    Assignee: FotoNation Limited
    Inventors: Ruxandra Vranceanu, Tudor Mihail Pop, Oana Parvan-Cernatescu, Sathish Mangapuram
  • Patent number: 11288537
    Abstract: A system and process to determine whether a digital image has been manipulated involves determining expected locations of non-standard pixels in the digital image, and determining a feature for evaluating the non-standard pixels. The feature in pixels of the digital image that are located at the expected locations of non-standard pixels is then measured, and a statistical measure of the feature of pixels in the digital image that are located at the expected locations of non-standard pixels is evaluated. The digital image is assessed to determine a probability that the digital image includes a manipulated portion, based on the statistical measure. The system and process can also determine a make and model of an image sensing device via an examination of the non-standard pixels.
    Type: Grant
    Filed: February 7, 2020
    Date of Patent: March 29, 2022
    Assignee: Honeywell International Inc.
    Inventors: Scott McCloskey, Keigo Hirakawa
  • Patent number: 11288533
    Abstract: A community mapping platform may receive an image that depicts a community layout of a community and may process, using a computer vision model, the image to identify a unit, of the community, that is depicted in the image (e.g., based on identifying a text string and/or a polygon in the image). The community mapping platform may determine sets of community geographical coordinates for a set of reference locations of the community and may map the sets of community geographical coordinates to corresponding reference pixel locations of the image. The community mapping platform may determine, using a geographical information system, unit geographical coordinates of the unit based on the reference pixel locations and may perform an action associated with the unit geographical coordinates.
    Type: Grant
    Filed: May 27, 2020
    Date of Patent: March 29, 2022
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: Adithya Umakanth, Ramesh Babu Kare, Vijay Naykodi, Adithya vikram raj Garoju, Ashis Sarkar, Balagangadhara Thilak Adiboina
  • Patent number: 11288491
    Abstract: The method is for dividing dark objects, sub-structures and background of an image from an electron microscope into segments by analyzing pixel values. The segments are transformed and aligned so that the transformed objects, sub-structures and background are meaningfully comparable. The transformed segments are clustered into classes which are used for ontological investigation of samples that are visualized by using electron microscopy. A triangle inequality comparison can be used to further cluster groups of objects to transfer understanding from different interactions between objects and to associate interactions with each other.
    Type: Grant
    Filed: July 2, 2018
    Date of Patent: March 29, 2022
    Assignee: INTELLIGENT VIRUS IMAGING INC
    Inventor: Martin Ryner
  • Patent number: 11288780
    Abstract: An object of the present invention is provide a coded aperture imaging apparatus that has a refocusing function and can change an angle of view. An imaging apparatus includes an imaging apparatus main body including a coded aperture, an imaging element that outputs a signal indicating a projected image of a subject, and an image restoration unit that reconstructs an image of a spatial domain based on the signal, and a lens attached to the imaging apparatus main body on a subject side from the coded aperture and changes an imaging angle of view in a state where the lens is attached to the imaging apparatus main body with respect to an imaging angle of view in a state where the lens is not attached to the imaging apparatus main body, in which the projected image is formed on the imaging element by the lens and the coded aperture.
    Type: Grant
    Filed: June 3, 2020
    Date of Patent: March 29, 2022
    Assignee: FUJIFILM Corporation
    Inventors: Yasunobu Kishine, Daiki Komatsu
  • Patent number: 11276499
    Abstract: Systems and methods are disclosed for processing digital images to identify diagnostic tests, the method comprising receiving one or more digital images associated with a pathology specimen, determining a plurality of diagnostic tests, applying a machine learning system to the one or more digital images to identify any prerequisite conditions for each of the plurality of diagnostic tests to be applicable, the machine learning system having been trained by processing a plurality of training images, identifying, using the machine learning system, applicable diagnostic tests of the plurality of diagnostic tests based on the one or more digital images and the prerequisite conditions, and outputting the applicable diagnostic tests to a digital storage device and/or display.
    Type: Grant
    Filed: October 19, 2021
    Date of Patent: March 15, 2022
    Assignee: Paige.AI, Inc.
    Inventors: Leo Grady, Christopher Kanan, Jorge Sergio Reis-Filho, Belma Dogdas, Matthew Houliston
  • Patent number: 11276173
    Abstract: A system and method for predicting a lung cancer risk based on a chest X-ray in which a nodule is detected in a chest of a patient based on an analysis of the chest X-ray using an image processing technique. A region of interest associated with the nodule is identified using the image processing technique. The region of interest is further analyzed using deep learning to determine a plurality of characteristics associated with the nodule. The plurality of characteristics comprises a size of the nodule, a calcification in the nodule, a homogeneity of the nodule and a spiculation of the nodule. Further, the plurality of characteristics is compared with a trained data model using deep learning. Based on the comparison, a risk score associated with the nodule is generated. Further, the lung cancer risk is predicted when the risk score exceeds a predefined threshold value.
    Type: Grant
    Filed: July 23, 2021
    Date of Patent: March 15, 2022
    Assignee: QURE.AI TECHNOLOGIES PRIVATE LIMITED
    Inventors: Preetham Putha, Manoj Tadepalli, Bhargava Reddy, Tarun Raj, Ammar Jagirdar, Pooja Rao, Prashant Warier
  • Patent number: 11276176
    Abstract: Embodiments for implementing intelligent boundary delineation of a region of interest of an organism in two spatial dimensions in a computing environment by a processor. Time series data of a contrast agent in one or more regions of interest captured from multispectral image streams may be collected. One or more regions of interest having one or more perfusion patterns may be identified from the time series data. Boundaries of the one or more regions of interest may be delineated into at least two spatial dimensions, wherein the boundaries of the one or more regions of interest include one or more selected labels.
    Type: Grant
    Filed: September 4, 2019
    Date of Patent: March 15, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Sergiy Zhuk, Jonathan Epperlein, Pol Mac Aonghusa, Rahul Nair
  • Patent number: 11273009
    Abstract: Systems and methods for trimming dental aligners include a cut line system for identifying a first point and a second point based on a line around tooth (LAT) for a tooth of a model representative of a dentition of a user, where the first point is disposed on a tooth-gingiva interface of the tooth. The cut line system defines a cut plane at a distance from the first point toward the second point, where the cut plane intersects a line between the first point and the second point, identifies a plurality of points on the LAT based on the cut plane, defines a cut line based on the plurality of points on the LAT and the first point, and controls a cutting system to cut the dental aligner along the cut line.
    Type: Grant
    Filed: February 22, 2021
    Date of Patent: March 15, 2022
    Assignee: SDC U.S. SmilePay SPV
    Inventors: Cherie Wilson, Josh Long, John Dargis, Tony Solarek
  • Patent number: 11270162
    Abstract: A method is provided for generating training data to facilitate automatically locating an object of interest within an image. Methods may include: receiving sensor data including a plurality of images from at least one image sensor; receiving an identification, from a user, of an object visible within an image of the plurality of images, where at least a portion of the object is visible in one or more of the plurality of images; determining a predicted location of the object in the one or more of the remaining images of the plurality of images; identifying the object in the one or more of the remaining images of the plurality of images; and storing the plurality of images including an indication of the object at the object location within the one or more of the plurality of images.
    Type: Grant
    Filed: October 30, 2018
    Date of Patent: March 8, 2022
    Assignee: HERE GLOBAL B.V.
    Inventor: Anirudh Viswanathan
  • Patent number: 11270451
    Abstract: A system for providing information about an environment to a user within the environment is featured. An electronic processor is configured to receive input including a user selection of an object of interest from among potential objects of interest. The electronic processor is further configured to provide output to guide the user to move the detection apparatus to position the object of interest near a reference point on a field of view of the detection apparatus, obtain multiple images of the object of interest during the user's movement of the detection apparatus, and crop each of the images to keep the object of interest near a reference point on each of the images.
    Type: Grant
    Filed: March 16, 2018
    Date of Patent: March 8, 2022
    Assignee: The Schepens Eye Research Institute, Inc.
    Inventors: Eliezer Peli, JaeHyun Jung, Cheng Qiu
  • Patent number: 11263745
    Abstract: A method and system for automatic location of a target treatment structure, such as a pulmonary vein ostium, from an anatomical image. The method includes calculating a most likely path of blood flow through a pulmonary vein based on a cross-sectional area minimization technique and calculating pulmonary vein geometry as a function of length. For example, a pulmonary vein ostium may be located by analyzing a change in pulmonary vein dimensional size or other anatomical factors, such as absolute size. The method may also include determining tissue thickness at the pulmonary vein ostium or other treatment size for treatment dose optimization. The method may be an algorithm performed by a processing unit of a navigation system or other component of a medical system.
    Type: Grant
    Filed: January 29, 2020
    Date of Patent: March 1, 2022
    Assignee: Medtronic, Inc.
    Inventor: Scott A. Hareland
  • Patent number: 11253324
    Abstract: One embodiment provides a method for training a machine-learning model to detect a location of a person's appendix, comprising: receiving, at the machine-learning model, a plurality of images, each image being a slice of a body taken by a CT scan; identifying, for each of the plurality of images, features of the appendix, wherein the identifying comprises analyzing a plurality of slices of each of the plurality of images and classifying each of the plurality of slices, into one of a plurality of classification groups, based upon a feature of the appendix within the slice; segmenting each of the plurality of image slices included in the one of the plurality of classification groups that classifies the slice as containing the appendix, thereby identifying probable locations of the appendix, via utilizing a probability mask for each of the probable locations.
    Type: Grant
    Filed: November 6, 2019
    Date of Patent: February 22, 2022
    Assignee: Cognistic, LLC
    Inventors: Tom Bu, Sanjay Chopra, Roshan Bhave, Ji Liu
  • Patent number: 11253218
    Abstract: A device, a system and a method for determining an anteversion angle of a femoral shaft of a femur are provided. The device includes a provision unit and a processing unit. The provision unit is configured to provide image data of the femur, and wherein the processing unit is configured to determine a longitudinal shaft axis extending through the femoral shaft based on the image data. The processing unit is further configured to determine at least two landmarks of the femur based on the image data, and place a tangent trough each landmark parallel to the shaft axis. The processing unit is configured to determine the anteversion angle of the femoral shaft based on the tangents and the shaft axis of the femoral shaft.
    Type: Grant
    Filed: October 16, 2017
    Date of Patent: February 22, 2022
    Assignee: Stryker European Operations Holdings LLC
    Inventor: Arno Blau