公开(公告)号：US20240148367A1

公开(公告)日：2024-05-09

申请号：US18504320

申请日：2023-11-08

Applicant: BFLY Operations, Inc

Inventor： Pouya Samangouei ,  Murad Omar ,  Joseph Paul Cohen ,  Eric Brattain ,  Igor Lovchinsky ,  Nathan Silberman ,  Swami Sankaranarayanan ,  Yang Liu ,  Audrey Howell

IPC: A61B8/08 ,  A61B8/00 ,  G06N3/08 ,  G06T5/00 ,  G06T5/50 ,  G06T7/00 ,  G16H30/20

CPC classification number: A61B8/5269 ,  A61B8/4427 ,  A61B8/467 ,  A61B8/5207 ,  G06N3/08 ,  G06T5/002 ,  G06T5/003 ,  G06T5/50 ,  G06T7/0012 ,  G16H30/20 ,  G06T2200/24 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30041 ,  G06T2207/30048 ,  G06T2207/30061 ,  G06T2207/30101

Abstract: The systems and methods, in one embodiment, include a convolutional neural network (CNN) model trained by a modified version of the CycleGAN process. The CNN filters ultrasound images generated by a handheld ultrasound device to generate images that are perceptually similar to images generated by a cart-based ultrasound device in terms of quality. The resulting images look sharper and less noisy compared to the original inputs. The invention is a tool within the actions menu of a mobile app. When the tool is open, users can turn filtering on and off. The users will turn filtering on to reduce noise so they can reach the right scanning spot faster. After which because of body habitus, still there might be some noise that this tool can clean up. The user can then decide to have the filtering on or off during the diagnostic process.