公开(公告)号：US20250009327A1

公开(公告)日：2025-01-09

申请号：US18346630

申请日：2023-07-03

Applicant: FUJIFILM SonoSite, Inc.

Inventor： Christopher White

IPC: A61B8/06 ,  A61B8/08

Abstract: Systems and methods for microvasculature imaging acquisition are disclosed. In aspects, a full frame corresponding to a field of view of an ultrasound scanner is divided into small portions, each of which is individually scanned for a desired period of time at a higher frame rate than the ultrasound scanner is capable of using to scan the full frame. These ultrasound data acquisition techniques enable super-resolution image processing or high-sensitivity microvascular-doppler image processing to be used to track low-intensity, slow-flow microvasculature of an anatomy of a subject.

公开(公告)号：US12236587B2

公开(公告)日：2025-02-25

申请号：US17671302

申请日：2022-02-14

Applicant: FUJIFILM SonoSite, Inc.

Inventor： Davin Dhatt ,  Thomas Duffy ,  Adam Pely ,  Christopher White ,  Andrew Lundberg ,  Paul Danset ,  Craig Chamberlain ,  Diku Mandavia

IPC: G06T7/00 ,  G06N5/04 ,  G16H30/20

Abstract: Examples herein include methods, systems, and computer program products for utilizing neural networks in ultrasound systems. The methods include processor(s) of a computing device identifying a neural network for implementation on the computing device to generate, based on ultrasound data, inferences and confidence levels for the inferences, the computing device being communicatively coupled via a computing network to an ultrasound machine configured to generate the ultrasound data. The processor(s) implements the neural network on the computing device, including configuring the neural network to generate an inference and a confidence level for at least one image of the images. The processor(s) obtains the ultrasound data including images from the ultrasound machine. The processor(s) determines, for the at least one image, an accuracy of the inference and the confidence level. The processor(s) automatically reconfigures the neural network to increase the accuracy based on the determining the accuracy.

公开(公告)号：US20240299002A1

公开(公告)日：2024-09-12

申请号：US18182196

申请日：2023-03-10

Applicant: FUJIFILM SonoSite, Inc.

Inventor： Davin Dhatt ,  Paul Danset ,  Thomas Duffy ,  Christopher White ,  Andrew Lundberg

IPC: A61B8/08 ,  A61B8/00 ,  G06N3/045

CPC classification number: A61B8/085 ,  A61B8/463 ,  A61B8/469 ,  A61B8/5207 ,  G06N3/045

Abstract: Systems and methods for anatomy-directed ultrasound are described. In some implementations, an anatomy-directed ultrasound system generates ultrasound data from an ultrasound scan of an anatomy, which is a bodily structure of an organism (e.g., human or animal). The system identifies organs represented in the ultrasound data and information associated with the organs including position and type of organ. Using this information, the system obtains or generates new ultrasound data that includes a region in which an item of interest is likely to be located. For example, the system can crop the original ultrasound data, refocus the ultrasound scan (e.g., by adjusting imaging parameters) to image the region that is likely to include the item of interest, or generate a weight map indicating the region. The anatomy-directed ultrasound system can increase accuracy and reduce the number of false positives in comparison to the number detected by conventional ultrasound systems.

公开(公告)号：US20230260107A1

公开(公告)日：2023-08-17

申请号：US17671302

申请日：2022-02-14

Applicant: FUJIFILM SonoSite, Inc.

Inventor： Davin Dhatt ,  Thomas Duffy ,  Adam Pely ,  Christopher White ,  Andrew Lundberg ,  Paul Danset ,  Craig Chamberlain ,  Diku Mandavia

IPC: G06T7/00 ,  G06N5/04 ,  G16H30/20

CPC classification number: G06T7/0012 ,  G06N5/04 ,  G16H30/20 ,  G06T2207/10132

Abstract: Examples herein include methods, systems, and computer program products for utilizing neural networks in ultrasound systems. The methods include processor(s) of a computing device identifying a neural network for implementation on the computing device to generate, based on ultrasound data, inferences and confidence levels for the inferences, the computing device being communicatively coupled via a computing network to an ultrasound machine configured to generate the ultrasound data. The processor(s) implements the neural network on the computing device, including configuring the neural network to generate an inference and a confidence level for at least one image of the images. The processor(s) obtains the ultrasound data including images from the ultrasound machine. The processor(s) determines, for the at least one image, an accuracy of the inference and the confidence level. The processor(s) automatically reconfigures the neural network to increase the accuracy based on the determining the accuracy.