Patents Examined by Atiba O Fitzpatrick
  • Patent number: 11365974
    Abstract: A navigation system uses markers that are identifiable in images of an environment being navigated to determine the location of a portable device in the environment. The portable device takes images of the environment, and those images are analysed to identify markers in the images and the pose of the portable device based on the image of the marker. The identified marker and the determined pose of the portable device are then used to determine the location and orientation of the portable device in the environment being navigated.
    Type: Grant
    Filed: July 23, 2019
    Date of Patent: June 21, 2022
    Assignees: Arm Limited, Apicai Limited
    Inventors: Roberto Lopez Mendez, Daren Croxford
  • Patent number: 11366101
    Abstract: Provided are ex vivo systems and methods of predicting the response of a drug or other agent on a tissue. In some embodiments, the systems and methods comprise cutting a tissue into tissue fragments, adding a drug or other agent to the tissue fragments based on an estimated tumor content, and performing an ex vivo measurement on the tissue fragments.
    Type: Grant
    Filed: December 30, 2021
    Date of Patent: June 21, 2022
    Assignee: Elephas Biosciences Corporation
    Inventors: Jonathan Daniel Oliner, Neil Anthony, Sean Caenepeel, Laura Catherine Funk Hrycyniak, John Rafter, Tomasz Zal
  • Patent number: 11361437
    Abstract: Embodiments discussed herein facilitate determining a diagnosis and/or prognosis for prostate cancer based at least in part on three-dimensional (3D) pathomic feature(s). One example embodiment comprises a computer-readable medium storing computer-executable instructions that, when executed, cause a processor to perform operations, comprising: accessing a three-dimensional (3D) optical image volume comprising a prostate gland of a patient; segmenting the prostate gland of the 3D optical image volume; extracting one or more features from the segmented prostate gland, wherein the one or more features comprise at least one 3D pathomic feature; and generating, via a model based at least on the one or more features, one or more of the following based at least on the extracted one or more features: a classification of the prostate gland as one of benign or malignant, a Gleason score associated with the prostate gland, or a prognosis for the patient.
    Type: Grant
    Filed: June 15, 2020
    Date of Patent: June 14, 2022
    Assignee: Case Western Reserve University
    Inventors: Anant Madabhushi, Can Koyuncu, Cheng Lu, Nicholas P. Reder, Jonathan Teng-Chieh Liu
  • Patent number: 11350900
    Abstract: A computer-implemented method for determining and evaluating an objective tumor response to an anti-cancer therapy using cross-sectional images can include receiving cross-sectional images of digital medical image data and identifying target lesions within the cross-sectional images. For each of the target lesions, a target lesion type and anatomical location is identified, a segmenting tool is activated for segmenting the target lesions into regions of interest, lesion metrics are automatically extracted from the regions of interest according to tumor response criteria, and conformity of target lesion identification is monitored using rules associated with the tumor response criteria, prompting a user to address any nonconforming target lesion. The method also includes receiving a presence/absence of metastases, determining changes in lesions metrics, and deriving an objective tumor response based on the tumor response criteria.
    Type: Grant
    Filed: July 9, 2020
    Date of Patent: June 7, 2022
    Assignee: AI Metrics, LLC
    Inventor: Andrew Dennis Smith
  • Patent number: 11348243
    Abstract: The current disclosure provides for mapping medical images to style transferred medical images using deep neural networks, while maintaining clinical quality of the style transferred medical image, thereby enabling a clinician to evaluate medical images in a preferred style without loss of clinically relevant content. In one embodiment the current disclosure provides for a method comprising, acquiring a medical image of an anatomical region of a subject, wherein the medical image is in a first style, selecting a target style, wherein the target style is distinct from the first style, selecting a clinical quality metric, selecting a trained style transfer network based on the target style and the clinical quality metric, mapping the medical image to a style transferred medical image using the trained style transfer network, wherein the style transferred medical image is in the target style, and displaying the style transferred medical image via a display device.
    Type: Grant
    Filed: January 24, 2020
    Date of Patent: May 31, 2022
    Inventors: Zhijin Li, Serge Muller, Giovanni Palma, Razvan Iordache
  • Patent number: 11348669
    Abstract: A clinical trial re-evaluation system is operable to perform at least one assessment function on a set of medical scans for each of a first subset of a set of patients of a failed clinical trial to generate automated assessment data for each of the first subset of the set of patients. The first subset of the set of patients corresponds to a subset of human assessment data determined to have failed to meet criteria of the clinical trial. Patient re-evaluation data is generated for each of the first subset of the set of patients by comparing the automated assessment data to the criteria. The patient re-evaluation data for a second subset of the first subset of the set of patients indicates the automated assessment data passes the criteria. Trial re-evaluation data is generated based on the patient re-evaluation data for transmission to a computing device for display.
    Type: Grant
    Filed: August 19, 2020
    Date of Patent: May 31, 2022
    Assignee: Enlitic, Inc.
    Inventors: Kevin Lyman, Keith Lui, Anthony Upton, Li Yao, Ben Covington
  • Patent number: 11346793
    Abstract: A method of generating physical component qualification data using computed tomography (CT) includes obtaining qualified CT data from a CT scanner for at least one qualified physical component. Qualification data is generated based on the qualified CT data, where the qualification data defines a qualification envelope.
    Type: Grant
    Filed: May 19, 2020
    Date of Patent: May 31, 2022
    Inventor: Jon M Frenn
  • Patent number: 11341645
    Abstract: The systems and methods can accurately and efficiently determine a myocardial risk from a lesion disposed along a coronary segment using hemodynamic characteristic(s) associated with one or more sections of the corresponding lesion site. The method may include segmenting one or more lesion sites disposed along at least one arterial segment of the one or more arterial segments of the coronary model into one or more sections. Each lesion site includes a lesion. The method may include determining one or more characteristics for at least one section using at least the one or more characteristics associated with the at least one arterial segment. The one or more characteristics for the at least one section including hemodynamic force characteristic(s) (e.g., wall shear stress (WSS)). The method may include determining one or more risk indices for each lesion site using at least the hemodynamic force characteristic(s) for the at least one section.
    Type: Grant
    Filed: March 11, 2019
    Date of Patent: May 24, 2022
    Assignee: Emory University
    Inventors: Habib Samady, Alessandro Veneziani, Don Giddens, David Molony, Adrien Lefieux, Arnav Kumar
  • Patent number: 11341649
    Abstract: Methods that implement image-guided tissue analysis, MRI-based computational modeling, and imaging informatics to analyze the diversity and dynamics of molecularly-distinct subpopulations and the evolving competitive landscapes in human glioblastoma multiforme (“GBM”) are provided. Machine learning models are constructed based on multiparametric MRI data and molecular data (e.g., CNV, exome, gene expression). Models can also be built based on specific biological factors, such as sex and age. Inputting MRI data into the trained predictive models generates maps that depict spatial patterns of molecular markers, which can be used to quantify and co-localize regions molecularly distinct subpopulations in tumors and other regions, such as the non-enhancing parenchyma, or brain around tumor (“BAT”) regions.
    Type: Grant
    Filed: February 26, 2019
    Date of Patent: May 24, 2022
    Assignees: Mayo Foundation for Medical Education and Research, Arizona Board of Regents
    Inventors: Leland S. Hu, Kristin R. Swanson, J. Ross Mitchell, Nhan L. Tran, Jing Li, Teresa Wu
  • Patent number: 11341801
    Abstract: A system evaluates currency in an area using image processing. In some examples, the system receives an image of an area from an image sensor, processes the image to identify at least one item of currency in the area, determine a value of the currency irrespective of validity, and counts the currency. In various examples, the system receives an image of an area from an image sensor; processes the image to identify at least one item of currency in the area; determines whether the currency has an error condition; and when the currency is determined to have the error condition, provides output on the error condition. In a number of examples, the system receives an image of an area from an image sensor; processes the image to identify at least one item of currency in the area; determines whether the currency is valid; and when the currency is determined to be suspect, provides output on the currency.
    Type: Grant
    Filed: September 29, 2020
    Date of Patent: May 24, 2022
    Assignee: JCM American Corporation
    Inventor: Paul Pechinko
  • Patent number: 11341661
    Abstract: Described herein is a method of registering a medical image of a subject with a 3D model of a subject, including calibrating the 3D model globally by aligning markers on the subject with corresponding markers on the 3D model; and calibrating the 3D model locally by aligning a scanning image of an internal structure of the subject with a corresponding internal structure of the 3D model. Also described herein is an apparatus of performing the method.
    Type: Grant
    Filed: December 31, 2019
    Date of Patent: May 24, 2022
    Inventors: Junzheng Man, Xuegong Shi, Guo Tang
  • Patent number: 11334998
    Abstract: According to one embodiment, a medical image processing apparatus includes processing circuitry. The processing circuitry specifies, before position alignment between a first X-ray image and a second X-ray image which is acquired with a device inserted, a device area candidate in the second X-ray image as a candidate of an area where the device appears. The processing circuitry performs the position alignment using first processing of removing the specified device area candidate or second processing of reducing a contribution of the specified device area candidate.
    Type: Grant
    Filed: April 21, 2020
    Date of Patent: May 17, 2022
    Inventors: Hirona Oikawa, Shingo Abe, Kunio Shiraishi, Toshiya Waku, Shumpei Ohashi, Akihito Takahashi, Saki Hashimoto, Jumpei Ogasawara
  • Patent number: 11328420
    Abstract: The subject disclosure presents systems and methods for automatically selecting meaningful regions on a whole-slide image and performing quality control on the resulting collection of FOVs. Density maps may be generated quantifying the local density of detection results. The heat maps as well as combinations of maps (such as a local sum, ratio, etc.) may be provided as input into an automated FOV selection operation. The selection operation may select regions of each heat map that represent extreme and average representative regions, based on one or more rules. One or more rules may be defined in order to generate the list of candidate FOVs. The rules may generally be formulated such that FOVs chosen for quality control are the ones that require the most scrutiny and will benefit the most from an assessment by an expert observer.
    Type: Grant
    Filed: January 17, 2020
    Date of Patent: May 10, 2022
    Assignees: Ventana Medical Systems, Inc., HOFFMANN-LA ROCHE INC.
    Inventors: Joerg Bredno, Astrid Heller, Gabriele Hoelzlwimmer
  • Patent number: 11321842
    Abstract: Embodiments discussed herein facilitate determination of tumor mutation status based on context and spatial information. One example embodiment can access a MRI scan of a tumor comprising voxels; extract radiomic feature(s) from the voxels; generate a spatial feature descriptor indicating probabilities the tumor has a first mutation status and a second mutation status, based on the MRI scan, a first population atlas for the first mutation status, and a second population atlas for the second mutation status; provide the radiomic feature(s) and the spatial feature descriptor to a machine learning model; and receive, via the machine learning model, a map indicating, for each voxel of the voxels, a probability of the first mutation status for that voxel and a probability of the second mutation status for that voxel, wherein the map is based at least on the one or more radiomic features and the spatial feature descriptor.
    Type: Grant
    Filed: November 19, 2020
    Date of Patent: May 3, 2022
    Assignee: Case Western Reserve University
    Inventors: Pallavi Tiwari, Anant Madabhushi, Marwa Ismail, Niha Beig, Prateek Prasanna
  • Patent number: 11315251
    Abstract: In a method of operation of an artificial intelligence-equipped specimen scanning and analysis unit to digitally scan and analyze pathological specimen slides, a sample slide with a mounted tissue sample is scanned and analyzed according to one or more user-selected algorithms in order to generate a heatmap visually depicting the presence of one or more user-selected sample attributes of the tissue sample. One or more artificial intelligence modules, including a deep learning computation module, is provided and can be trained by the user for future analysis of new samples. One or more regions of interest may be selected from the heatmap to include in the results of the analysis. A focus window may be used to closely inspect any given region of the whole slide image, and a trail map is generated from the movement of the focus window.
    Type: Grant
    Filed: April 20, 2020
    Date of Patent: April 26, 2022
    Assignee: OPTRASCAN, INC
    Inventors: Abhijeet Sharadchandra Gholap, Isha Doshi, Gurunath Kamble
  • Patent number: 11315284
    Abstract: An image display apparatus includes a display which can display an image; and a hardware processor. The hardware processor obtains image data of a dynamic image or a moving image including a plurality of frames generated by a radiation imaging apparatus. The hardware processor displays on the display as a failure image at least one failure frame included in the dynamic image or the moving image based on the obtained image data or analyzed image data obtained by analyzing the image data, the failure frame including a reason why the dynamic image or the moving image cannot be provided for diagnosis.
    Type: Grant
    Filed: August 26, 2019
    Date of Patent: April 26, 2022
    Assignee: KONICA MINOLTA, INC.
    Inventors: Hidetake Tezuka, Masahiro Kuwata
  • Patent number: 11304680
    Abstract: A spinal image generation system based on the ultrasonic rubbing technique, comprises an acquisition unit and a processing unit. The system generates the ultrasonic rubbing based on two-dimensional spinal ultrasonic images. The image needs to include surface characteristic contour of the vertebra structure. The ultrasonic rubbing matches with a digital medical image through characteristic contour. After matching, a personalized spinal surface topographical map is established, which keeps real-time updating consistently with the intraoperative posture of the patient under surgical condition. A positioning and navigation system for spinal surgery based on the spinal image generation system, comprising a navigation module and the image generation system above. The navigation system can acquire a personalized spinal surface topographical map, which keeps real-time updating consistently with the intraoperative posture of the patient under surgical condition.
    Type: Grant
    Filed: January 25, 2020
    Date of Patent: April 19, 2022
    Inventors: Tianjian Liu, Yongjian Zhu, Gao Chen
  • Patent number: 11295447
    Abstract: A method, a program, and a method determining hypermutated type cancer with higher accuracy than before is provided.
    Type: Grant
    Filed: February 7, 2019
    Date of Patent: April 5, 2022
    Assignees: Niigata University, Denka Company Limited
    Inventors: Toshifumi Wakai, Shujiro Okuda, Yoshifumi Shimada, Hiroshi Izutsu, Keisuke Kodama
  • Patent number: 11295449
    Abstract: Disclosed is a method and system for three-dimensional tracking of a target located within a body, the method performed using at least one processing system. A two-dimensional scanned image of the body including the target is processed to obtain a two-dimensional image of the target. A first present dataset of the target is predicted using a previous dataset of the target and a state transition model, the first present dataset includes a three-dimensional present position value of the target. A second present dataset of the target is measured by template-matching of the two-dimensional image of the target with a model of the target. A third present dataset of the target is estimated by statistical inference using the first present dataset and the second present dataset. The previous dataset of the target is updated to match the third present dataset.
    Type: Grant
    Filed: November 16, 2017
    Date of Patent: April 5, 2022
    Assignee: ASTO CT, INC.
    Inventors: Ilana Feain, Chun-Chien Shieh, Michelle Dunbar
  • Patent number: 11291902
    Abstract: A system for illustrating the flight of a sports ball includes a radar, an imager, and a controller. The imager is configured to image a moving sports ball. The controller is configured to (i) receive, from the imager, an image including the moving sports ball, (ii) receive, from the radar, radar data associated with the moving sports ball, (iii) determine, from the radar data, a portion of a trajectory of the moving sports hall, (iv) alter the image to illustrate the portion of the trajectory relative to the moving sports ball, and (v) output the altered image.
    Type: Grant
    Filed: September 3, 2020
    Date of Patent: April 5, 2022
    Assignee: TRACKMAN A/S
    Inventors: Fredrik Tuxen, Frederik Ettrup Brink