IP Library Granted Patent US 11,928,859
Granted Patent B2
US 11,928,859 · App. 17/975,268 · Granted Mar 12, 2024

Automated image analysis for diagnosing a medical condition

Inventors: Daniel Nouri (Burlington, MA); Alex Rothberg (Burlington, MA); Matthew de Jonge (Burlington, MA); Jimmy Jia (Burlington, MA); Jonathan M. Rothberg (Burlington, MA); Michal Sofka (Burlington, MA); David Elgena (Burlington, MA); Mark Michalski (Burlington, MA); Tomer Gafner (Burlington, MA); Abraham Neben (Burlington, MA)
Assignee: BFLY OPERATIONS, INC.
G06V10/82A61B8/02A61B8/06A61B8/065A61B8/085A61B8/4427A61B8/46A61B8/52A61B8/5207A61B8/5223G06F18/24133G06T7/0012G06T7/0014G06T7/70G06T11/60G06T19/006G06V10/454G06V30/19173G06V30/194G06V40/67A61B8/0833A61B8/0883A61B8/4263A61B8/463A61B8/5215A61B2034/2065A61B2090/365A61B2090/378A61B2090/3937G06T2207/10132G06T2207/20081G06T2207/20084G06T2207/20221G06T2207/30048G06T2207/30061G06T2210/41G06V2201/03
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,928,859
App. No.
17/975,268
Granted
Mar 12, 2024
Kind
B2
Abstract

Aspects of the technology described herein relate to techniques for guiding an operator to use an ultrasound device. Thereby, operators with little or no experience operating ultrasound devices may capture medically relevant ultrasound images and/or interpret the contents of the obtained ultrasound images. For example, some of the techniques disclosed herein may be used to identify a particular anatomical view of a subject to image with an ultrasound device, guide an operator of the ultrasound device to capture an ultrasound image of the subject that contains the particular anatomical view, and/or analyze the captured ultrasound image to identify medical information about the subject.

Claims (59)

1. An ultrasound system, comprising:

an ultrasound device; and

a handheld computing device in operative communication with the ultrasound device, the handheld computing device comprising a display screen and configured to:

obtain an electronic medical record of a subject;

identify an organ associated with medical information contained in the electronic medical record;

identify a target anatomical view of the identified organ of the subject to be imaged by the ultrasound device;

display, on the display screen, a coarse instruction for capturing ultrasound data representing the target anatomical view, the coarse instruction comprising:

a graphical image of the subject; and

a graphical indication of where an operator should place the ultrasound device in order to capture the ultrasound data representing the target anatomical view, wherein the indication is superimposed on the graphical image of the subject; and

display, on the display screen, a fine instruction for capturing the ultrasound data representing the target anatomical view, the fine instruction comprising an instruction selected from the group consisting of translating, rotating, and tilting the ultrasound device in order to capture the ultrasound data representing the target anatomical view.

2. The ultrasound system of claim 1 , wherein

the handheld computing device is further configured to input the ultrasound data to a neural network to determine a diagnosis of a medical condition of the subject.

3. The ultrasound system of claim 1 , wherein

the handheld computing device does not display ultrasound images generated based on the ultrasound data captured by the ultrasound device while displaying the coarse instruction or the fine instruction.

4. The ultrasound system of claim 1 , wherein

the medical information contained in the electronic medical record comprises a symptom.

5. The ultrasound system of claim 1 , wherein

the handheld computing device is configured to access the electronic medical record on a remote server.

6. The ultrasound system of claim 5 , wherein

the handheld computing device is configured to scan a barcode to obtain information for accessing the electronic medical record on the remote server.

7. The ultrasound system of claim 1 , wherein

when the electronic medical record indicates that the subject has symptoms of congestive heart failure, the handheld computing device is configured to identify a heart as the organ and to identify a parasternal long axis view of the heart as the target anatomical view.

8. The ultrasound system of claim 1 , wherein

the coarse instruction further comprises text comprising a message instructing the operator where to place the ultrasound device in order to capture the image of the target anatomical view.

9. The ultrasound system of claim 1 , wherein

the handheld computing device is further configured to:

determine when the ultrasound device is properly positioned;

provide a confirmation that the ultrasound device is properly positioned; and

provide a message instructing the operator to hold the ultrasound device in place.

10. The ultrasound system of claim 1 , wherein

the handheld computing device is configured, when identifying the target anatomical view of the subject to be imaged by the ultrasound device, to identify a target anatomical view which can be used to calculate ejection fraction.

11. The ultrasound system of claim 1 , wherein

the handheld computing device is further configured to:

calculate results based on ultrasound images collected by the ultrasound system, wherein the results comprise ejection fraction and ventricle diameter; and

display the ejection fraction and ventricle diameter results.

12. The ultrasound system of claim 11 , wherein

the handheld computing device is further configured to display whether the ejection fraction result or the ventricle diameter result is in an abnormal range.

13. The ultrasound system of claim 1 , wherein

the fine instruction comprises an augmented reality interface comprising:

a non-acoustic image of the subject captured by a camera of the computing device; and

an instruction superimposed on the non-acoustic image of the subject indicating how the operator should move the ultrasound device in order to capture the image of the target anatomical view.

14. The ultrasound system of claim 13 , wherein

the fine instruction further comprises text instructing the operator how to move the ultrasound device.

15. The ultrasound system of claim 13 , wherein

the instruction superimposed on the non-acoustic image of the subject indicating how the operator should move the ultrasound device in order to capture the image of the target anatomical view is animated.

16. The ultrasound system of claim 13 , wherein

the camera comprises a front-facing camera, and the subject is the operator.

17. The ultrasound system of claim 1 , wherein

the handheld computing device is further configured to prompt the operator to input whether the subject is experiencing paroxysmal nocturnal dyspnea.

18. The ultrasound system of claim 1 , wherein

the handheld computing device is further configured to:

instruct the operator to capture an image of a barcode with a camera of the computing device;

obtain medical information of the subject using the barcode;

display the medical information of the subject; and

prompt the operator to confirm that the medical information is correct.

19. The ultrasound system of claim 1 , wherein

the handheld computing device is further configured to instruct the operator to apply gel to the ultrasound device.

20. The ultrasound system of claim 1 , wherein

the handheld computing device comprises a smartphone or tablet.

Continuity (9)
Continuation 15626954 · Jun 19, 2017
Provisional Application 62463094 · Feb 24, 2017
Provisional Application 62453696 · Feb 2, 2017
Provisional Application 62445195 · Jan 11, 2017
Provisional Application 62434980 · Dec 15, 2016
Provisional Application 62384187 · Sep 6, 2016
Provisional Application 62384144 · Sep 6, 2016
Provisional Application 62352382 · Jun 20, 2016
Related Publication 20230117915A1 · Apr 20, 2023
Cited By (1)
US 12,569,198