公开(公告)号：US20240320827A1

公开(公告)日：2024-09-26

申请号：US18671250

申请日：2024-05-22

Applicant: Hologic, Inc.

Inventor： Haili CHUI ,  Ashwini KSHIRSAGAR ,  Xiangwei ZHANG

IPC: G06T7/00 ,  G06T7/11

CPC classification number: G06T7/0012 ,  G06T7/11 ,  G06T2207/20081 ,  G06T2207/30068 ,  G06T2207/30096

Abstract: A method of correlating regions in an image pair including a cranial-caudal image and a medial-lateral-oblique image. Data from a similarity matching model is received by an ensemble model, the data including at least a matched pair of regions and a first confidence level indicator associated with the matched pair of regions. Data from a geo-matching model is received by the ensemble model, the data from the geo-matching model including at least the matched pair of regions and a second confidence level indicator. A joint probability of correlation is determined by the ensemble model based on evaluation of each of the first and second confidence level by the ensemble matching model, wherein the joint probability of correlation provides a probability that the region in each image correlates to the corresponding region in the other image. The joint probability of correlation is provided to an output device.

公开(公告)号：US20240315654A1

公开(公告)日：2024-09-26

申请号：US18590033

申请日：2024-02-28

Applicant: Hologic, Inc.

Inventor： Haili CHUI ,  Liyang WEI ,  Jun GE ,  Xiangwei ZHANG ,  Nikolaos GKANATSIOS

IPC: A61B6/50 ,  A61B6/02 ,  G06F18/25 ,  G06T7/00 ,  G06T17/10 ,  G06V10/80 ,  G06V30/24

CPC classification number: A61B6/502 ,  A61B6/025 ,  G06F18/254 ,  G06T7/0012 ,  G06T17/10 ,  G06V10/806 ,  G06V10/809 ,  G06V30/2504 ,  G06T2207/30068

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.

公开(公告)号：US20210113167A1

公开(公告)日：2021-04-22

申请号：US16497764

申请日：2018-03-28

Applicant: HOLOGIC, INC.

Inventor： Haili CHUI ,  Liyang WEI ,  Jun GE ,  Xiangwei ZHANG ,  Nikolaos GKANATSIOS

IPC: A61B6/00 ,  A61B6/02 ,  G06T7/00 ,  G06K9/62 ,  G06T17/10

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.

公开(公告)号：US20250140389A1

公开(公告)日：2025-05-01

申请号：US18822675

申请日：2024-09-03

Applicant: Hologic, Inc.

Inventor： Ashwini KSHIRSAGAR ,  Haili CHUI ,  Nikolaos GKANATSIOS ,  Adora DSOUZA ,  Xiangwei ZHANG

IPC: G16H40/20 ,  G06Q10/0631 ,  G06Q10/0639 ,  G06Q10/1093 ,  G06T7/00 ,  G16H10/20 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/30

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.

公开(公告)号：US20240021297A1

公开(公告)日：2024-01-18

申请号：US18319727

申请日：2023-05-18

Applicant: Hologic, Inc.

Inventor： Ashwini KSHIRSAGAR ,  Haili CHUI ,  Nikolaos GKANATSIOS ,  Adora DSOUZA ,  Xiangwei ZHANG

IPC: G16H40/20 ,  G16H30/20 ,  G16H50/30 ,  G16H50/20 ,  G16H30/40 ,  G16H10/20 ,  G06Q10/0631 ,  G06Q10/0639 ,  G06Q10/1093 ,  G06T7/00

CPC classification number: G16H40/20 ,  G16H30/20 ,  G16H50/30 ,  G16H50/20 ,  G16H30/40 ,  G16H10/20 ,  G06Q10/06311 ,  G06Q10/06398 ,  G06Q10/1097 ,  G06T7/0012 ,  G06T2200/24 ,  G06T2207/20081 ,  G06T2207/30068

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.

公开(公告)号：US20210098120A1

公开(公告)日：2021-04-01

申请号：US17033372

申请日：2020-09-25

Applicant: Hologic, Inc.

Inventor： Ashwini KSHIRSAGAR ,  Haili CHUI ,  Nikolaos GKANATSIOS ,  Adora DSOUZA ,  Xiangwei ZHANG

IPC: G16H40/20 ,  G06T7/00 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/30 ,  G16H10/20 ,  G06Q10/06 ,  G06Q10/10

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.

公开(公告)号：US20220192615A1

公开(公告)日：2022-06-23

申请号：US17692989

申请日：2022-03-11

Applicant: Hologic, Inc.

Inventor： Haili CHUI ,  Liyang WEI ,  Jun GE ,  Xiangwei ZHANG ,  Nikolaos GKANATSIOS

IPC: A61B6/00 ,  A61B6/02 ,  G06K9/62 ,  G06T7/00 ,  G06T17/10

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.

公开(公告)号：US20210118199A1

公开(公告)日：2021-04-22

申请号：US16497766

申请日：2018-03-28

Applicant: HOLOGIC, INC.

Inventor： Haili CHUI ,  Xiaomin LIU ,  Xiangwei ZHANG

IPC: G06T11/00 ,  G06T7/00 ,  A61B6/00 ,  G06N20/00 ,  G06T15/20

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.