IP Library Granted Patent US 11,471,131
Granted Patent B2
US 11,471,131 · App. 16/936,941 · Granted Oct 18, 2022

Ultrasound imaging system and method for displaying an acquisition quality level

Inventors: Tanya Specht (Hempstead, NY); Menachem Halmann (Milwaukee, WI); Alexander Sokulin (Kiryat, IL); Peter Lysyansky (Haifa, IL); Cynthia Owen (Powhatan, AR); Sergey Ogurtsov (Haifa, IL)
Assignee: General Electric Company
A61B8/5269A61B8/463A61B8/469A61B8/5207G06T7/0012G09B23/286A61B8/54
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Quick Facts
Patent No.
US 11,471,131
App. No.
16/936,941
Granted
Oct 18, 2022
Kind
B2
Abstract

A system and a method of ultrasound imaging includes acquiring ultrasound data, acquiring a quality parameter while acquiring the ultrasound data, determining an acquisition quality level based on the quality parameter, displaying an image generated based on the ultrasound data and displaying an ROI on the ultrasound image, where a color of the ROI represents the acquisition quality level.

Claims (33)

1. A method of ultrasound imaging comprising:

continuously acquiring frames of ultrasound data with a probe at a frame rate of at least 10 Hz;

generating live images in real-time based on the continuously acquired frames of ultrasound data;

displaying the live images of the acquired frames in real-time on a display device;

employing a neural network to calculate a quality parameter for the live images; and

displaying a color-coded line to visually represent the quality parameter on the display device, wherein the color-coded line is continuously updated in real-time to represent the quality parameter, and wherein the color-coded line represents a border of the live images.

2. The method of claim 1 , wherein the quality parameter includes at least a correctness-of-view metric.

3. The method of claim 2 , wherein the correctness-of-view metric is based on a determination of how well the live images match a standard view.

4. The method of claim 3 , wherein the correctness of view metric is determined by applying a neural network to determine how closely the acquired image frames match a standard view.

5. The method of claim 1 , wherein the color-coded line is generated using at least a first color and a second color that is different than the first color.

6. The method of claim 5 , wherein the first color is green and the second color is yellow.

7. The method of claim 5 , wherein the color-coded line is further generated using a third color that is different than both the first color and the second color.

8. The method of claim 1 , wherein the color-coded line is displayed below at least a portion of the displayed live images.

9. The method of claim 1 , wherein the color-coded line is a dashed line.

10. The method of claim 1 , wherein the color-coded line is displayed above at least a portion of the displayed live images.

11. An ultrasound imaging system comprising:

a probe;

a display device; and

a processor in electronic communication with the probe and the display device, wherein the processor is configured to:

control the probe to continuously acquire frames of ultrasound data at a frame rate of at least 10 Hz;

generate live images in real-time based on the continuously acquired frames of ultrasound data;

display the live images of the acquired frames in real-time on a display device;

employ a neural network to calculate a quality parameter for the live images; and

display a color-coded line to visually represent the quality parameter on the display device, wherein the color-coded line is continuously updated in real-time to represent the quality parameter, and wherein the color-coded line represents a border of the live images.

12. The ultrasound imaging system of claim 11 , wherein the quality parameter includes at least a correctness-of-view metric.

13. The ultrasound imaging system of claim 12 , wherein the correctness-of-view metric is based on a determination of how well the live images match a standard view.

14. The ultrasound imaging system of claim 13 , wherein the correctness-of-view metric is determined by applying a neural network to determine how closely the acquired image frames match a standard view.

15. The ultrasound imaging system of claim 11 , wherein the color-coded line comprises at least a first color and a second color that is different than the first color.

16. The ultrasound imaging system of claim 15 , wherein the first color is green and the second color is yellow.

17. The ultrasound imaging system of claim 15 , wherein the color-coded line further comprises a third color that is different from both the first color and the second color.

18. The ultrasound imaging system of claim 11 , wherein the processor is configured to display the color-coded line below at least a portion of the displayed live images on the display device.

19. The ultrasound imaging system of claim 11 , wherein the color-coded line is a dashed line.

20. The ultrasound imaging system of claim 11 , wherein the processor is configured to display the color-coded line above at least a portion of the displayed live images on the display device.

Assignments (2)
NUNC PRO TUNC ASSIGNMENT Recorded May 8, 2025
From: GENERAL ELECTRIC COMPANY
To: GE PRECISION HEALTHCARE LLC
Reel/Frame 071225/0218 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 23, 2020
From: SPECHT, TANYA; HALMANN, MENACHEM; SOKULIN, ALEXANDER; LYSYANSKY, PETER; OWEN, CYNTHIA; OGURTSOV, SERGEY
To: GENERAL ELECTRIC COMPANY
Reel/Frame 053294/0573 →
Continuity (2)
Continuation 15581004 · Apr 28, 2017
Related Publication 20200352548A1 · Nov 12, 2020