Systems and methods for ultrasound imaging

Patent metadata

Field	Value
Publication number	US-11033251-B2
Application number	US-201916407312-A
Country	US
Kind code	B2
Filing date	May 9, 2019
Priority date	Nov 9, 2016
Publication date	Jun 15, 2021
Grant date	Jun 15, 2021

Abstract

A computing system includes a memory configured to store instructions, and one or more processors configured to execute the instructions to receive data relating to an image or a user, determine a feature from the data, identify a user preference from a user profile, obtain a model, and segment the image based on the feature, the user preference, and the model. The model is generated by determining a historical feature from historical data as an input, determining a desired output, obtaining a preliminary model based on the input and the desired output, determining an actual output of the preliminary model, determining error criteria between the actual output and the desired output, and generating the model by updating the preliminary model based on the error criteria.

First claim

What is claimed is:

1. A computing system, comprising:
a memory configured to store instructions; and
one or more processors configured to execute the instructions to:
receive data relating to an image;
determine one or more features from the data;
obtain an enhancement model; and
enhance the image based on the one or more features and the enhancement model;
wherein the enhancement model is obtained based on a process including the following steps:
obtaining a preliminary enhancement model;
generating the enhancement model based on an actual output of the preliminary enhancement model and a desired output.

2. The computing system of claim 1 , wherein the enhancement model is obtained based on a process further including the following steps:
receiving historical data as an input;
determining a desired output;
obtaining the preliminary enhancement model based on the input and the desired output;
determining the actual output of the preliminary enhancement model based on the input and the enhancement preliminary model;
determining error criteria between the actual output of the preliminary enhancement model and the desired output; and
generating the enhancement model by updating the preliminary enhancement model based on the error criteria.

3. The computing system of claim 2 , the one or more processors are further configured to execute the instructions to automatically determine one or more training sets for training the preliminary enhancement model based on the historical data.

4. The computing system of claim 3 , wherein the one or more training sets include at least one of a spatial feature or a temporal feature.

5. The computing system of claim 1 , wherein the one or more processors are further configured to:
determine one or more user preferences; and
enhance the image based on the one or more features, the one or more user preferences, and the enhancement model.

6. The computing system of claim 5 , wherein the one or more user preferences are determined from a user profile, the one or more user preferences including one or more imaging parameters in which the user is interested.

7. The computing system of claim 6 , wherein the one or more processors are further configured to:
segment the image based on the one or more features and a segmentation model.

8. The computing system of claim 7 , wherein the one or more processors are further configured to:
receive the segmented image;
determine one or more segment features from the segmented image; and
determine one or more values of the one or more imaging parameters based at least in part on the segmented image, the one or more user preferences, and the enhancement model.

9. The computing system of claim 1 , further comprising a scanner configured to acquire the image, wherein the one or more processors are further configured to execute one or more of the instructions during a down-time of the scanner.

10. The computing system of claim 1 , wherein the one or more processors are implemented on a cloud server or on a local computing device attached to a scanner that captures the image.

11. The computing system of claim 1 is an ultrasound imaging system.

Assignees

• Edan Instruments Inc

Inventors

• Srinivasan Seshadri
• Mo Jianhua
• Gardner Ed
• Ling Feng
• Murphy Sean

Classifications

• A61B8/5269 Primary

  involving detection or reduction of artifacts · CPC title

• G06V10/762

  using clustering, e.g. of similar faces in social networks · CPC title

• G06V10/82

  using neural networks · CPC title

• G06V10/764

  using classification, e.g. of video objects · CPC title

• G06F18/23

  Clustering techniques · CPC title