公开(公告)号：US11523801B2

公开(公告)日：2022-12-13

申请号：US16913322

申请日：2020-06-26

Applicant: EchoNous, Inc.

Inventor： Matthew Cook ,  Allen Lu

IPC: A61B8/00 ,  G16H30/40 ,  G16H50/20 ,  G16H50/50 ,  A61B8/14 ,  A61B8/08 ,  G06T7/00 ,  G06K9/62 ,  G06T11/00 ,  G16H30/20 ,  G06N3/04 ,  G06N3/08

Abstract: A facility for processing a medical imaging image is described. The facility applies to the image a first machine learning model trained to recognize a view to which an image corresponds, and a second machine learning model trained to identify any of a set of anatomical features visualized in an image. The facility accesses a list of permitted anatomical features for images corresponding to the recognized view, and filters the identified anatomical features to exclude any not on the accessed list. The facility causes the accessed image to be displayed, overlaid with a visual indication of each of the filtered identified anatomical features.

公开(公告)号：US12144686B2

公开(公告)日：2024-11-19

申请号：US17509987

申请日：2021-10-25

Applicant: EchoNous, Inc.

Inventor： Matthew Cook ,  Babajide Ayinde

IPC: A61B8/08 ,  A61B8/00 ,  G06N3/08

Abstract: A facility for assessing an ultrasound image captured from a patient with a particular depth setting is described. The facility subjects the received ultrasound image to at least one neural network to produce, for each neural network, an inference. On the basis of the produced inferences, the facility determines whether the depth setting at which the ultrasound image was captured was optimal.

公开(公告)号：US20210345992A1

公开(公告)日：2021-11-11

申请号：US16913322

申请日：2020-06-26

Applicant: EchoNous, Inc.

Inventor： Matthew Cook ,  Allen Lu

IPC: A61B8/00 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/50 ,  G06N3/04 ,  G06N3/08 ,  A61B8/14 ,  A61B8/08 ,  G06T7/00 ,  G06K9/62 ,  G06T11/00

Abstract: A facility for processing a medical imaging image is described. The facility applies to the image a first machine learning model trained to recognize a view to which an image corresponds, and a second machine learning model trained to identify any of a set of anatomical features visualized in an image. The facility accesses a list of permitted anatomical features for images corresponding to the recognized view, and filters the identified anatomical features to exclude any not on the accessed list. The facility causes the accessed image to be displayed, overlaid with a visual indication of each of the filtered identified anatomical features.

公开(公告)号：US20230125779A1

公开(公告)日：2023-04-27

申请号：US17509987

申请日：2021-10-25

Applicant: EchoNous, Inc.

Inventor： Matthew Cook ,  Babajide Ayinde

IPC: A61B8/08 ,  A61B8/00 ,  G06N3/08

Abstract: A facility for assessing an ultrasound image captured from a patient with a particular depth setting is described. The facility subjects the received ultrasound image to at least one neural network to produce, for each neural network, an inference. On the basis of the produced inferences, the facility determines whether the depth setting at which the ultrasound image was captured was optimal.

公开(公告)号：US20210077068A1

公开(公告)日：2021-03-18

申请号：US17018837

申请日：2020-09-11

Applicant: EchoNous, Inc.

Inventor： Allen Lu ,  Matthew Cook ,  Babajide Ayinde ,  Nikolaos Pagoulatos ,  Ramachandra Pailoor

IPC: A61B8/00 ,  A61B8/08 ,  G06K9/78 ,  G06T7/00 ,  G06N3/04 ,  G06N3/08

Abstract: Automated ultrasound image labeling and quality grading systems and methods are provided. An ultrasound system includes an ultrasound imaging device configured to acquire ultrasound images of a patient. An anatomical structure recognition and labeling module receives the acquired ultrasound images from the ultrasound imaging device, and automatically recognizes anatomical structures in the received ultrasound images. The anatomical structure recognition and labeling module automatically labels the anatomical structures in the images with information that identifies the anatomical structures. The acquired ultrasound images and the labeled anatomical structures are displayed on a display of the ultrasound imaging device.

公开(公告)号：US12213840B2

公开(公告)日：2025-02-04

申请号：US17693848

申请日：2022-03-14

Applicant: EchoNous, Inc.

Inventor： Babajide Ayinde ,  Matthew Cook ,  Eric Wong ,  Alexandra Clements ,  Dave Willis ,  Pavlos Moustakidis ,  Vasileios Sachpekidis ,  Niko Pagoulatos

IPC: A61B8/00 ,  A61B8/06 ,  A61B8/08

Abstract: A facility for automatically establishing measurement location controls for Doppler ultrasound studies is described. The facility receives a first ultrasound image, and user input selecting an anatomical structure appearing in it. The facility performs localization to determine the location of the selected anatomical structure in the initial image, and determines a first placement of measurement location controls relative to the structure. On the ultrasound machine, the facility invokes one or more first Doppler ultrasound modes using the first placement. The facility receives a second ultrasound image produced by the ultrasound machine using the one or more first modes; determines a flow location and direction based on the second ultrasound image; and determines a second placement relative to the flow location. The facility invokes one or more second Doppler ultrasound modes using the second placement, and receives results from the invocation of the one or more second Doppler ultrasound modes.

公开(公告)号：US20240050069A1

公开(公告)日：2024-02-15

申请号：US17885448

申请日：2022-08-10

Applicant: EchoNous, Inc.

Inventor： Babajide Ayinde ,  Timothy Crossley ,  Matthew Cook ,  Fan Zhang

IPC: A61B8/00

CPC classification number: A61B8/463 ,  A61B8/54 ,  G06T2207/10132

Abstract: Systems and methods for automated recording of an ultrasound clip are based on quality scores of ultrasound images in a sequence of ultrasound image frames. An ultrasound imaging system includes a probe for capturing ultrasound images, an image buffer to store a sequence of image frames, a quality buffer to store a sequence of quality scores, and a computing subsystem that automatically records an ultrasound clip when the quality scores in the quality buffer corresponding to a set of contiguous image frames in the image buffer equal or exceed a first quality threshold and the set of contiguous image frames is at least a first predetermined size. Additionally, a smart capture feature automatically records an ultrasound clip including an alternate set of contiguous image frames having quality scores equaling or exceeding a second quality threshold that is less than the first quality threshold and meets a second predetermined size.

公开(公告)号：US20230342922A1

公开(公告)日：2023-10-26

申请号：US18054458

申请日：2022-11-10

Applicant: EchoNous, Inc.

Inventor： Babajide Ayinde ,  Matthew Cook ,  Soham Bhosale ,  Maya Keselman

IPC: G06T7/00 ,  G06N3/08

CPC classification number: G06T7/0012 ,  G06N3/08 ,  G06T2207/20081 ,  G06T2207/10132

Abstract: A machine learning model is described that usable to improve the quality of an ultrasound image captured from a person using a set of ultrasound machine setting values that is collectively sub-optimal. Different versions of the model predict from such a starting ultrasound image either (a) a new set of setting values that can be used to reimage the person to produce a higher-quality ultrasound image, or (b) this higher-quality ultrasound image directly.

公开(公告)号：US20230285005A1

公开(公告)日：2023-09-14

申请号：US17693848

申请日：2022-03-14

Applicant: EchoNous, Inc.

Inventor： Babajide Ayinde ,  Matthew Cook ,  Eric Wong ,  Alexandra Clements ,  Dave Willis ,  Pavlos Moustakidis ,  Vasileios Sachpekidis ,  Niko Pagoulatos

IPC: A61B8/00 ,  A61B8/08 ,  A61B8/06

CPC classification number: A61B8/54 ,  A61B8/488 ,  A61B8/085 ,  A61B8/469 ,  A61B8/06 ,  A61B8/463 ,  A61B8/0883

Abstract: A facility for automatically establishing measurement location controls for Doppler ultrasound studies is described. The facility receives a first ultrasound image, and user input selecting an anatomical structure appearing in it. The facility performs localization to determine the location of the selected anatomical structure in the initial image, and determines a first placement of measurement location controls relative to the structure. On the ultrasound machine, the facility invokes one or more first Doppler ultrasound modes using the first placement. The facility receives a second ultrasound image produced by the ultrasound machine using the one or more first modes; determines a flow location and direction based on the second ultrasound image; and determines a second placement relative to the flow location. The facility invokes one or more second Doppler ultrasound modes using the second placement, and receives results from the invocation of the one or more second Doppler ultrasound modes.

公开(公告)号：US20210345986A1

公开(公告)日：2021-11-11

申请号：US17068143

申请日：2020-10-12

Applicant: EchoNous, Inc.

Inventor： Matthew Cook

IPC: A61B8/08 ,  A61B8/00 ,  A61B5/00 ,  A61B8/14

Abstract: A facility for performing patient diagnosis is described. The facility accesses a set of diagnostic signs involved in a diagnostic protocol. Until the presence or absence of each of the diagnostic signs of the set has been identified in ultrasound images of a patient, the facility causes an ultrasound image to be captured from the patient, and applies to the captured ultrasound image a trained machine learning model to identify the presence or absence of one or more diagnostic signs of the set. The facility evaluates the diagnostic protocol with respect to the identified presence or absence of each of the set of diagnostic signs to obtain a preliminary diagnosis, and stores the preliminary diagnosis.