Patents by Inventor Haili Chui

Haili Chui has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11508340
    Abstract: The invention includes a method including the steps of obtaining a plurality of images, each of the images in the plurality having at least one corresponding region, generating a merged image, the merged image also having the corresponding region. The step of generating includes selecting an image source from the plurality of images to source image data for the corresponding region in the merged image by comparing attributes of the corresponding regions of the plurality of images to identify the image source having preferred attributes.
    Type: Grant
    Filed: April 1, 2021
    Date of Patent: November 22, 2022
    Assignee: Hologic, Inc.
    Inventors: Kevin Kreeger, Andrew P. Smith, Ashwini Kshirsagar, Jun Ge, Yiheng Zhang, Haili Chui, Christopher Ruth, Xiangwei Zhang, Liyang Wei, Jay Stein
  • Patent number: 11455754
    Abstract: A method for processing breast tissue image data includes processing image data of a patient's breast tissue to generate a high-dimensional grid depicting one or more high-dimensional objects in the patient's breast tissue; determining a probability or confidence of each of the one or more high-dimensional objects depicted in the high-dimensional grid; and modifying one or more aspects of at least one of the one or more high-dimensional objects based at least in part on its respective determined probability or confidence to thereby generate a lower-dimensional format version of the one or more high-dimensional objects. The method may further include displaying the lower-dimensional format version of the one or more high-dimensional objects in a synthesized image of the patient's breast tissue.
    Type: Grant
    Filed: March 28, 2018
    Date of Patent: September 27, 2022
    Assignee: Hologic, Inc.
    Inventors: Haili Chui, Xiaomin Liu, Xiangwei Zhang
  • Patent number: 11445993
    Abstract: A method for processing breast tissue image data includes obtaining image data of a patient's breast tissue, processing the image data to generate a set of image slices, the image slices collectively depicting the patient's breast tissue; feeding image slices of the set through each of a plurality of object-recognizing modules, each of the object-recognizing modules being configured to recognize a respective type of object that may be present in the image slices; combining objects recognized by the respective object-recognizing modules to generate a synthesized image of the patient's breast tissue; and displaying the synthesized image.
    Type: Grant
    Filed: March 28, 2018
    Date of Patent: September 20, 2022
    Assignee: Hologic, Inc.
    Inventors: Haili Chui, Liyang Wei, Jun Ge, Nikolaos Gkanatsios
  • Patent number: 11419565
    Abstract: A system for processing breast tissue images includes an image processing computer and a user interface operatively coupled to the image processing computer, wherein the image processing computer is configured to obtain image data of breast tissue, processing the image data to generate a set of reconstructed image slices, the reconstructed image slices collectively depicting the breast tissue, process respective subsets of the reconstructed image slices to generate a set of image slabs, each image slab comprising a synthesized 2D image of a portion of the breast tissue obtained from a respective subset of the set of reconstructed image slices.
    Type: Grant
    Filed: February 14, 2020
    Date of Patent: August 23, 2022
    Assignee: IIologic, Inc.
    Inventors: Nikolaos Gkanatsios, Haili Chui, Xiangwei Zhang
  • Patent number: 11403483
    Abstract: A method and system for creating a dynamic self-learning medical image network system, wherein the method includes receiving, from a first node initial user interaction data pertaining to one or more user interactions with the one or more initially obtained medical images; training a deep learning algorithm based at least in part on the initial user interaction data received from the node; and transmitting an instance of the trained deep learning algorithm to the first node and/or to one or more additional nodes, wherein at each respective node to which the instance of the trained deep learning algorithm is transmitted, the trained deep learning algorithm is applied to respective one or more subsequently obtained medical images in order to obtain a result.
    Type: Grant
    Filed: May 31, 2018
    Date of Patent: August 2, 2022
    Assignee: HOLOGIC, INC.
    Inventors: Haili Chui, Zhenxue Jing
  • Patent number: 11399790
    Abstract: A method for processing breast tissue image data includes processing the image data to generate a set of image slices collectively depicting the patient's breast; for each image slice, applying one or more filters associated with a plurality of multi-level feature modules, each configured to represent and recognize an assigned characteristic or feature of a high-dimensional object; generating at each multi-level feature module a feature map depicting regions of the image slice having the assigned feature; combining the feature maps generated from the plurality of multi-level feature modules into a combined image object map indicating a probability that the high-dimensional object is present at a particular location of the image slice; and creating a 2D synthesized image identifying one or more high-dimensional objects based at least in part on object maps generated for a plurality of image slices.
    Type: Grant
    Filed: March 28, 2018
    Date of Patent: August 2, 2022
    Assignee: Hologic, Inc.
    Inventors: Haili Chui, Liyang Wei, Jun Ge, Xiangwei Zhang, Nikolaos Gkanatsios
  • Publication number: 20220192615
    Abstract: A method for processing breast tissue image data includes processing the image data to generate a set of image slices collectively depicting the patient's breast; for each image slice, applying one or more filters associated with a plurality of multi-level feature modules, each configured to represent and recognize an assigned characteristic or feature of a high-dimensional object; generating at each multi-level feature module a feature map depicting regions of the image slice having the assigned feature; combining the feature maps generated from the plurality of multi-level feature modules into a combined image object map indicating a probability that the high-dimensional object is present at a particular location of the image slice; and creating a 2D synthesized image identifying one or more high-dimensional objects based at least in part on object maps generated for a plurality of image slices.
    Type: Application
    Filed: March 11, 2022
    Publication date: June 23, 2022
    Applicant: Hologic, Inc.
    Inventors: Haili CHUI, Liyang WEI, Jun GE, Xiangwei ZHANG, Nikolaos GKANATSIOS
  • Publication number: 20220164586
    Abstract: Examples of the present disclosure describe systems and methods for using AI to identify regions of interest (ROI) in medical images. In aspects, medical reports and images may be provided to a second environment. The second environment may use the medical report data/medical images to train a natural language processing (NLP)-based algorithm to identify the location in images of ROI described in the medical report data. The output of the NLP-based algorithm may be stored in an ROI repository in the second environment. After the NLP-based algorithm has been trained, a request to train a user-specific model may be received in a first environment. Data objects for the requested user-specific model may be provided to the second environment, which uses the ROI repository to train the model. The trained model may be provided to the first environment, where the trained user-specific model/algorithm may be tested and stored.
    Type: Application
    Filed: November 22, 2021
    Publication date: May 26, 2022
    Applicant: Hologic, Inc.
    Inventors: Haili Chui, Nikolaos Gkanatsios, Zhenxue Jing, Ashwini Kshirsagar, Samir Parikh, Venky Vaddineni
  • Publication number: 20220164951
    Abstract: Examples of the present disclosure describe systems and methods for using AI to identify regions of interest (ROI) in medical images. In aspects, medical reports and images may be provided to a first environment. The first environment may use the medical report data/medical images to train a natural language processing (NLP)-based algorithm to identify the location in images of ROI described in the medical report data. The output of the NLP-based algorithm may be stored in an ROI repository in the first environment. After the NLP-based algorithm has been trained, a request to train a user-specific model may be received in a second environment. Data objects for the requested user-specific model may be provided to the first environment, which uses the ROI repository to train the model. The trained model may be provided to the second environment, where the trained user-specific model/algorithm may be tested and stored.
    Type: Application
    Filed: November 19, 2021
    Publication date: May 26, 2022
    Applicant: Hologic, Inc.
    Inventors: Haili Chui, Nikolaos Gkanatsios, Zhenxue Jing, Ashwini Kshirsagar, Samir Parikh, Venky Vaddineni
  • Publication number: 20220015731
    Abstract: A method and breast imaging system for processing breast tissue image data includes feeding image data of breast images to an image processor, identifying image portions depicting breast tissue and high density elements and executing different processing methods on input images. A first image processing method involves breast tissue enhancement and high density element suppression, whereas the second image processing method involves enhancing high density elements. Respective three-dimensional sets of image slices may be generated by respective image processing methods, and respective two-dimensional synthesized images are generated and combined to form a two-dimensional composite synthesized image which is presented through a display of the breast imaging system. First and second image processing may be executed on generated three-dimensional image sets or two-dimensional projection images acquired by an image acquisition component at respective angles relative to the patient's breast.
    Type: Application
    Filed: September 24, 2019
    Publication date: January 20, 2022
    Applicant: HOLOGIC, INC.
    Inventors: Xiaomin Liu, Haili Chui, Xiangwei Zhang, Nikolaos Gkanatsios
  • Publication number: 20220013089
    Abstract: The invention includes a method including the steps of obtaining a plurality of images, each of the images in the plurality having at least one corresponding region, generating a merged image, the merged image also having the corresponding region. The step of generating includes selecting an image source from the plurality of images to source image data for the corresponding region in the merged image by comparing attributes of the corresponding regions of the plurality of images to identify the image source having preferred attributes.
    Type: Application
    Filed: April 1, 2021
    Publication date: January 13, 2022
    Applicant: HOLOGIC, INC.
    Inventors: Kevin Kreeger, Andrew P. Smith, Ashwini Kshirsagar, Jun Ge, Yiheng Zhang, Haili Chui, Christopher Ruth, Xiangwei Zhang, Liyang Wei, Jay Stein
  • Publication number: 20220005277
    Abstract: A system and method for displaying and navigating breast tissue is configured for or includes obtaining a plurality of 2D and/or 3D images of a patient's breast; generating a synthesized 2D image of the breast from the obtained images; displaying the synthesized 2D image; receiving a user command, or otherwise detecting through a user interface, a user selection or other indication of an object or region in the synthesized 2D image; and displaying at least a portion of one or more images from the plurality, including a source image and/or most similar representation of the user selected or indicated object or region.
    Type: Application
    Filed: March 12, 2021
    Publication date: January 6, 2022
    Applicant: HOLOGIC, INC.
    Inventors: Jin-Long Chen, Haili Chui, Nikolaos Gkanatsios, Kevin Kreeger, Julian Marshall, David Mislan, Mark A. Prazer, Xiangwei Zhang
  • Publication number: 20210113167
    Abstract: A method for processing breast tissue image data includes processing the image data to generate a set of image slices collectively depicting the patient's breast; for each image slice, applying one or more filters associated with a plurality of multi-level feature modules, each configured to represent and recognize an assigned characteristic or feature of a high-dimensional object; generating at each multi-level feature module a feature map depicting regions of the image slice having the assigned feature; combining the feature maps generated from the plurality of multi-level feature modules into a combined image object map indicating a probability that the high-dimensional object is present at a particular location of the image slice; and creating a 2D synthesized image identifying one or more high-dimensional objects based at least in part on object maps generated for a plurality of image slices.
    Type: Application
    Filed: March 28, 2018
    Publication date: April 22, 2021
    Inventors: Haili CHUI, Liyang WEI, Jun GE, Xiangwei ZHANG, Nikolaos GKANATSIOS
  • Publication number: 20210118199
    Abstract: A method for processing breast tissue image data includes processing image data of a patient's breast tissue to generate a high-dimensional grid depicting one or more high-dimensional objects in the patient's breast tissue; determining a probability or confidence of each of the one or more high-dimensional objects depicted in the high-dimensional grid; and modifying one or more aspects of at least one of the one or more high-dimensional objects based at least in part on its respective determined probability or confidence to thereby generate a lower-dimensional format version of the one or more high-dimensional objects. The method may further include displaying the lower-dimensional format version of the one or more high-dimensional objects in a synthesized image of the patient's breast tissue.
    Type: Application
    Filed: March 28, 2018
    Publication date: April 22, 2021
    Inventors: Haili CHUI, Xiaomin LIU, Xiangwei ZHANG
  • Patent number: 10978026
    Abstract: The invention includes a method including the steps of obtaining a plurality of images, each of the images in the plurality having at least one corresponding region, generating a merged image, the merged image also having the corresponding region. The step of generating includes selecting an image source from the plurality of images to source image data for the corresponding region in the merged image by comparing attributes of the corresponding regions of the plurality of images to identify the image source having preferred attributes.
    Type: Grant
    Filed: February 14, 2020
    Date of Patent: April 13, 2021
    Assignee: Hologic, Inc.
    Inventors: Kevin Kreeger, Andrew P. Smith, Ashwini Kshirsagar, Jun Ge, Yiheng Zhang, Haili Chui, Christopher Ruth, Xiangwei Zhang, Liyang Wei, Jay Stein
  • Patent number: 10977863
    Abstract: A system and method for displaying and navigating breast tissue is configured for or includes obtaining a plurality of 2D and/or 3D images of a patient's breast; generating a synthesized 2D image of the breast from the obtained images; displaying the synthesized 2D image; receiving a user command, or otherwise detecting through a user interface, a user selection or other indication of an object or region in the synthesized 2D image; and displaying at least a portion of one or more images from the plurality, including a source image and/or most similar representation of the user selected or indicated object or region.
    Type: Grant
    Filed: August 29, 2019
    Date of Patent: April 13, 2021
    Assignee: Hologic, Inc.
    Inventors: Jin-Long Chen, Haili Chui, Nikolaos Gkanatsios, Kevin Kreeger, Julian Marshall, David Mislan, Mark A. Prazer, Xiangwei Zhang
  • Publication number: 20210100518
    Abstract: A method for processing breast tissue image data includes obtaining image data of a patient's breast tissue, processing the image data to generate a set of image slices, the image slices collectively depicting the patient's breast tissue; feeding image slices of the set through each of a plurality of object-recognizing modules, each of the object-recognizing modules being configured to recognize a respective type of object that may be present in the image slices; combining objects recognized by the respective object-recognizing modules to generate a synthesized image of the patient's breast tissue; and displaying the synthesized image.
    Type: Application
    Filed: March 28, 2018
    Publication date: April 8, 2021
    Inventors: Haili CHUI, Liyang WEI, Jun GE, Nikolaos GKANATSIOS
  • Publication number: 20210098120
    Abstract: Examples of the present disclosure describe systems and methods for predicting the reading time and/or reading complexity of a breast image. In aspects, a first set of data relating to the reading time of breast images may be collected from one or more data sources, such as image acquisition workstations, image review workstations, and healthcare professional profile data. The first set of data may be used to train a predictive model to predict/estimate an expected reading time and/or an expected reading complexity for various breast images. Subsequently, a second set of data comprising at least one breast image may be provided as input to the trained predictive model. The trained predictive model may output an estimated reading time and/or reading complexity for the breast image. The output of the trained predictive model may be used to prioritize mammographic studies or optimize the utilization of available time for radiologists.
    Type: Application
    Filed: September 25, 2020
    Publication date: April 1, 2021
    Inventors: Ashwini KSHIRSAGAR, Haili CHUI, Nikolaos GKANATSIOS, Adora DSOUZA, Xiangwei ZHANG
  • Publication number: 20210030366
    Abstract: Examples of the present disclosure describe systems and methods for personalized breast imaging. In aspects, a first set of patient attributes may be collected. The first set of patient attributes may relate to, or be used to determine, for example, breast size, breast thickness, and/or three-dimensional (3D) breast shape. The first set of patient attributes may be used to customize image acquisition parameters for the patient. A second set of patient attributes may also be collected. The second set of patient attributes may relate to, or be used to determine, for example, breast elasticity and breast density. The second set of patient attributes may be used to customize breast compression parameters for the patient. The customized image acquisition parameters and breast compression parameters may then be used to perform one or more procedures (e.g., an imaging procedure, a biopsy procedure, etc.) on the patient's breast.
    Type: Application
    Filed: July 29, 2020
    Publication date: February 4, 2021
    Applicant: Hologic, Inc.
    Inventors: Biao CHEN, Haili CHUI
  • Publication number: 20210035680
    Abstract: Examples of the present disclosure describe systems and methods for automating clinical workflow decisions. In aspects, patient data may be collected from multiple data sources, such as patient records, imaging data, etc. The patient data may be processed using an artificial intelligence (AI) component. The output of the AI component may be used by healthcare professionals to inform healthcare decisions for patients. The output of the AI component and additional information relating to the healthcare decisions and healthcare paths may be provided as input to a decision analysis component. The decision analysis component may process the input and output an automated healthcare recommendation that may be used to further inform the healthcare decisions of the healthcare professionals. In some aspects, the output of the decision analysis component may be used to determine a priority or timeline for performing one or more actions relating to patient healthcare.
    Type: Application
    Filed: July 31, 2020
    Publication date: February 4, 2021
    Inventors: Biao CHEN, Zhenxue JING, Ashwini KSHIRSAGAR, Nikolaos GKANATSIOS, Haili CHUI