Patents Examined by Jon Chang
  • Patent number: 11908156
    Abstract: Described herein is a detector for determining a position of at least one object. The detector includes at least one sensor element having a matrix of optical sensors, the optical sensors each having a light-sensitive area, wherein the sensor element is configured to determine a reflection image of the object. The detector also includes an evaluation device configured to select a reflection feature of the reflection image, and determine a distance estimate of the selected reflection feature of the reflection image by optimizing at least one blurring function fa, wherein the distance estimate is given by a longitudinal coordinate z and an error interval ±?. The evaluation device is adapted to determine at least one displacement region in at least one reference image corresponding to the distance estimate, and to match the selected reflection feature with at least one reference feature within the displacement region.
    Type: Grant
    Filed: January 8, 2020
    Date of Patent: February 20, 2024
    Assignee: TRINAMIX GMBH
    Inventors: Michael Eberspach, Christian Lennartz, Robert Send, Patrick Schindler, Peter Schillen, Ingmar Bruder
  • Patent number: 11908134
    Abstract: A method for adaptive treatment planning is provided. The method may include obtaining a planning image volume of a subject, a treatment image volume of the subject, and a first treatment plan related to the planning image volume of the subject, each of the planning image volume and the treatment image volume including an ROI of the subject. The method may also include registering the planning image volume and the treatment image volume, and determining a first contour of the ROI in the registered planning image volume and a second contour of the ROI in the registered treatment image volume. The method may also include evaluating whether an error exists in at least one of the registration or the contour determination based on the first contour and the second contour, and determining a second treatment plan with respect to the treatment image volume based on the evaluation result.
    Type: Grant
    Filed: June 6, 2022
    Date of Patent: February 20, 2024
    Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.
    Inventors: Supratik Bose, Jonathan Maltz, Johannes Stahl
  • Patent number: 11906578
    Abstract: A multispectral inspection (MSI) device for analyzing an electronic item having a printed circuit board (PCB). An electronic power supply powers the electronic item in accordance with one or more test vectors. An optical imaging scanner, terahertz (THz) imaging scanner, and a functional imaging scanner are each operative to scan the electronic item. An electronic processor is programmed to scan the various scanners and control the power supply to acquire optical, THz, and functional images of the electronic item. The images are combined to form a standard three-dimensional (3D) signature and artificial intelligence (AI) classifiers are applied to the 3D signature to perform non-destructive analyses of the electronic item.
    Type: Grant
    Filed: September 16, 2020
    Date of Patent: February 20, 2024
    Assignee: BATTELLE MEMORIAL INSTITUTE
    Inventors: Thomas F. Kent, Jeremiah P. Schley, Anthony F. George, Richard J. Higgins, Katie T. Liszewski, David Maung
  • Patent number: 11908136
    Abstract: A respiratory status classifying method is for classifying as one of at least two respiratory statuses and includes an original physiological parameter inputting step, an original chest image inputting step, a characteristic physiological parameter generating step, a characteristic chest image generating step, a training step and a classifier generating step. The characteristic chest image generating step includes processing at least a part of the original chest images, segmenting images of a left lung, a right lung and a heart from each of the original chest images that are processed, and enhancing image data of the images being segmented, so as to generate a plurality of characteristic chest images. The training step includes training two respiratory status classifiers using a plurality of characteristic physiological parameters and the characteristic chest images by at least one machine learning algorithm.
    Type: Grant
    Filed: September 27, 2022
    Date of Patent: February 20, 2024
    Assignees: TAICHUNG VETERANS GENERAL HOSPITAL, TUNGHAI UNIVERSITY
    Inventors: Ming-Cheng Chan, Kai-Chih Pai, Wen-Cheng Chao, Yu-Jen Huang, Chieh-Liang Wu, Min-Shian Wang, Chien-Lun Liao, Ta-Chun Hung, Yan-Nan Lin, Hui-Chiao Yang, Ruey-Kai Sheu, Lun-Chi Chen
  • Patent number: 11900606
    Abstract: Systems and methods of tumor segmentation are receiving data having dimensions of a first size and a first kernel size. A residual volume is produced from the input volume. A first, second, and third intermediate volume are produced by from convolving a first, second, and third dimension volume of the residual volume to 1. A first global volume is produced from sums of the residual volumes. A downsampled volume is produced from the input volume. A residual downsampled volume is produced from the downsampled volume. A first, second, and third intermediate downsampled volume is produced from convolving a first, second, and third dimension volume of the downsampled volume to 1. A second global volume is produced from sums of the intermediate downsampled volumes. The second global volume is upsampled. An output volume is produced from integrating the first global volume and the second global volume.
    Type: Grant
    Filed: June 28, 2019
    Date of Patent: February 13, 2024
    Assignee: QMENTA, Inc.
    Inventors: Santiago Puch Giner, Vesna Prchkovska, Paulo Reis Rodrigues
  • Patent number: 11875504
    Abstract: An animation system wherein a machine learning model is adopted to learn a transformation relationship between facial muscle movements and skin surface movements. For example, for the skin surface representing “smile,” the transformation model derives movement vectors relating to what facial muscles are activated, what are the muscle strains, what is the joint movement, and/or the like. Such derived movement vectors may be used to simulate the skin surface “smile.”.
    Type: Grant
    Filed: October 28, 2020
    Date of Patent: January 16, 2024
    Assignee: Unity Technologies SF
    Inventor: Byung Kuk Choi
  • Patent number: 11875505
    Abstract: The current disclosure provides methods and systems for increasing an accuracy and/or suitability of an automated measurement of a medical image. In one embodiment, the current disclosure provides for a method comprising: receiving one or more user-selected measurement points for an automated measurement of an anatomical feature of a medical image from a user; predicting one or more additional measurement points for the automated measurement based on the one or more user-selected measurement points and based on a comparison of the anatomical feature of the medical image with a plurality of images of the anatomical feature via a trained network; and performing the automated measurement of the anatomical feature based at least on the one or more additional measurement points.
    Type: Grant
    Filed: January 29, 2021
    Date of Patent: January 16, 2024
    Assignee: GE PRECISION HEALTHCARE LLC
    Inventor: Andrew Gilbert
  • Patent number: 11864939
    Abstract: A deep learning (DL) network corrects/performs sinogram completion in computed tomography (CT) images based on complementary high- and low-kV projection data generated from a sparse (or fast) kilo-voltage (kV)-switching CT scan. The DL network is trained using inputs and targets, which respectively generated with and without kV switching. Another DL network can be trained to correct sinogram-completion errors in the projection data after a basis/material decomposition. A third DL network can be trained to correct sinogram-completion errors in reconstructed images based on the kV-switching projection data. Performance of the DL network can be improved by dividing a 3D convolutional neural network (CNN) into two steps performed by respective 2D CNNs. Further, the projection data and DLL can be divided into high- and low-frequency components to improve performance.
    Type: Grant
    Filed: June 4, 2021
    Date of Patent: January 9, 2024
    Assignee: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Jian Zhou, Ruoqiao Zhang, Zhou Yu, Yan Liu
  • Patent number: 11867819
    Abstract: An apparatus for sign detection includes a point cloud analysis module, an image analysis module, a frustum comparison module, and a sign detector. The point cloud analysis module is configured to receive point cloud data associated with a geographic region and classify at least one point neighborhood in the point cloud data as planar and a sign position candidate. The image analysis module is configured to receive image data associated with the geographic region and calculate a sighting frustum from the image data. The frustum comparison module is configured to perform a comparison of the sighting frustum to the sign position candidate having at least one point neighborhood classified as planar. The sign detector is configured to provide a location for the sign detection in response to the comparison of the sighting frustum to the sign position candidate.
    Type: Grant
    Filed: June 10, 2021
    Date of Patent: January 9, 2024
    Assignee: HERE Global B.V.
    Inventors: David Doria, Charles Morcom, Engin Burak Anil, Fangning He, Matthew Emery Goss
  • Patent number: 11869182
    Abstract: A method is proposed for identifying (“segmenting”) at least one portion of the skin of an animal which is a region of interest (e.g. a portion which is subject to an abnormality such as a tumor). The method uses at least a temperature dataset obtained by measuring the temperature of each of a plurality of points of a region of the skin. An initial segmentation may be performed using the temperature data based on a statistical model, in which each point is segmented based on its temperature and optionally that of its neighbors. The initial segmentation based on the temperature data may be improved using a three-dimensional model of the profile of the skin, and the enhanced segmentation may be used to improve the three-dimensional model.
    Type: Grant
    Filed: June 14, 2019
    Date of Patent: January 9, 2024
    Assignee: Fuel 3D Technologies Limited
    Inventors: Chris Kane, Leonardo Rubio Navarro, Adeala Zabair, Anna Chabokdast, James Klatzow
  • Patent number: 11842490
    Abstract: Disclosed is a fundus image quality evaluation method based on multi-source and multi-scale feature fusion, comprising following steps: S1, acquiring multi-source fundus images, labeling the multi-source fundus images with four evaluation dimensions of brightness, blur, contrast and overall image quality, and forming training samples with the fundus image and labeling labels; S2, constructing a fundus image quality evaluation network including a feature extraction module, a fusion module, an attention module and an evaluation module; S3, training the fundus image quality evaluation network by using training samples to obtain a fundus image quality evaluation model; and S4: inputting fundus images to be measured into the fundus image quality evaluation model, and outputting quality evaluation results through calculation. Also provided is a fundus image quality evaluation device based on above method.
    Type: Grant
    Filed: March 28, 2023
    Date of Patent: December 12, 2023
    Assignee: ZHEJIANG UNIVERSITY
    Inventors: Kai Jin, Juan Ye, Zhiyuan Gao, Xiaoyu Ma, Yaqi Wang, Yunxiang Li
  • Patent number: 11828704
    Abstract: Various techniques are provided for increasing contrast of gas features in a scene. In one example, a method includes receiving a captured infrared image comprising a gas feature and a scene feature. The captured infrared image comprises a first range of pixel values associated with a first temperature range of the gas feature and the scene feature. The method also includes applying a spatial filter to the captured infrared image to provide a spatially filtered infrared image retaining the gas feature and removing the scene feature. The spatially filtered infrared image comprises a second range of pixel values associated with a second temperature range of the gas feature without the additional scene feature to exhibit increased gas contrast over the captured infrared image. Additional methods and systems are also provided.
    Type: Grant
    Filed: June 11, 2020
    Date of Patent: November 28, 2023
    Assignee: FLIR Systems AB
    Inventor: Henning Hagman
  • Patent number: 11830190
    Abstract: Techniques are for detecting presence of a problematic cellular entity in a target. In an example, using an analysis model, a fluorescence-based image is analyzed. The analysis model is trained using a number of reference fluorescence-based images for detecting the presence of problematic cellular entities in targets. Based on the analysis, a problematic cellular entity present in the target is detected. To perform the detection, the analysis model is trained to differentiate between the fluorescence in the fluorescence-based image emerging from the problematic cellular entity and the fluorescence in the fluorescence-based image emerging from regions other than the problematic cellular entity.
    Type: Grant
    Filed: May 27, 2022
    Date of Patent: November 28, 2023
    Assignee: ADIUVO DIAGNOSTICS PRIVATE LIMITED
    Inventors: Bala Pesala, Geethanjali Radhakrishnan, Bikki Kumar Sha, John King
  • Patent number: 11825928
    Abstract: The present disclosure relates to a method of recommending cosmetics based on a melanin index and a hemoglobin index and a device thereof, and more particularly to a method for implementing quantification and standardization based on hemoglobin and melanin indexes from personal color consulting, which conventionally done offline based on a color index (Lab index) and has high result variability depending on personal experience or knowledge of a consultant and recommending cosmetics based on the quantification and standardization.
    Type: Grant
    Filed: July 16, 2021
    Date of Patent: November 28, 2023
    Assignee: COCORY Color Research Institute, Inc.
    Inventor: Yong Hyeung Du
  • Patent number: 11813113
    Abstract: Mechanisms are provided to implement an automated echocardiograph measurement extraction system. The automated echocardiograph measurement extraction system receives medical imaging data comprising one or more medical images and inputs the one or more medical images into a deep learning network. The deep learning network automatically processes the one or more medical images to generate an extracted echocardiograph measurement vector output comprising one or more values for echocardiograph measurements extracted from the one or more medical images. The deep learning network outputs the extracted echocardiograph measurement vector output to a medical image viewer.
    Type: Grant
    Filed: March 18, 2021
    Date of Patent: November 14, 2023
    Inventors: Ehsan Dehghan Marvast, Allen Lu, Tanveer F. Syeda-Mahmood
  • Patent number: 11810292
    Abstract: Embodiments discussed herein facilitate training and/or employing a combined model employing machine learning and deep learning outputs to generate prognoses for treatment of tumors. One example embodiment can extract radiomic features from a tumor and a peri-tumoral region; provide the intra-tumoral and peri-tumoral features to two separate machine learning models; provide the segmented tumor and peri-tumoral region to two separate deep learning models; receive predicted prognoses from each of the machine learning models and each of the deep learning models; provide the predicted prognoses to a combined machine learning model; and receive a combined predicted prognosis for the tumor from the combined machine learning model.
    Type: Grant
    Filed: September 30, 2020
    Date of Patent: November 7, 2023
    Assignee: Case Western Reserve University
    Inventors: Anant Madabhushi, Nathaniel Braman, Jeffrey Eben
  • Patent number: 11798257
    Abstract: A computer-implemented method for generating a rotation-invariant feature descriptor for a location in an image for use in performing descriptor matching in analysing the image, extracts samples according to a descriptor pattern for the location in the image; uses the extracted samples to determine a measure of rotation for the location in the image, the measure of rotation describing an angle between an orientation of the image and a characteristic direction of the image at the location; generating a feature descriptor for the location in the image by determining a set of samples characterising the location in dependence on the determined measure of rotation and the extracted samples; and processes the determined set of samples to generate the feature descriptor for the location in the image.
    Type: Grant
    Filed: April 5, 2019
    Date of Patent: October 24, 2023
    Assignee: Imagination Technologies Limited
    Inventors: Marc Vivet, Timothy Smith
  • Patent number: 11798165
    Abstract: A method of tumor detection and segmentation accepts a first Whole Slide Image (WSI) having a first resolution; creates a corresponding second WSI having a second resolution lower than the first resolution; applies an adaptive thresholding technique to the second WSI to create a background removal mask background; applies the mask to the first WSI to provide a third WSI with extracted patches, characterized by a third resolution, greater than the second resolution and lower than the first resolution; uses a first machine learning system on the third WSI to create a heat map at the third resolution, indicating a subset of the patches likely to include one or more clusters of tumor cells; and uses a second machine learning system on the first WSI and the heat map to segment each patch in a corresponding output image at the first resolution, outlining one or more corresponding clusters.
    Type: Grant
    Filed: October 28, 2020
    Date of Patent: October 24, 2023
    Assignee: SONY GROUP CORPORATION
    Inventors: Bi Song, Ko-Kai Albert Huang, Ming-Chang Liu
  • Patent number: 11798164
    Abstract: A neural network is trained to segment interferogram images. A first plurality of interferograms are obtained, where each interferograms corresponds to data acquired by an OCT system using a first scan pattern, annotating each of the plurality of interferograms to indicate a tissue structure of a retina, training a neural network using the plurality of interferograms and the annotations, inputting a second plurality of interferograms corresponding to data acquired by an OCT system using a second scan pattern and obtaining an output of the trained neural network indicating the tissue structure of the retina that was scanned using the second scan pattern. The system and methods may instead receive a plurality of A-scans and output a segmented image corresponding to a plurality of locations along an OCT scan pattern.
    Type: Grant
    Filed: March 2, 2023
    Date of Patent: October 24, 2023
    Assignee: ACUCELA INC.
    Inventors: Stephan Wyder, Matthias Pfister, Cyril Stoller, Philip M. Buscemi
  • Patent number: 11783639
    Abstract: A liveness test method and apparatus is disclosed. A processor implemented liveness test method includes extracting an interest region of an object from a portion of the object in an input image, performing a liveness test on the object using a neural network model-based liveness test model, the liveness test model using image information of the interest region as provided first input image information to the liveness test model and determining liveness based at least on extracted texture information from the information of the interest region by the liveness test model, and indicating a result of the liveness test.
    Type: Grant
    Filed: August 20, 2020
    Date of Patent: October 10, 2023
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Byungin Yoo, Youngjun Kwak, Jungbae Kim, Jinwoo Son, Changkyo Lee, Chang Kyu Choi, Jaejoon Han