Fujifilm SonoSite has patented a method and apparatus for identifying blood vessels in ultrasound images using a neural network. The technology aids clinicians in selecting appropriate veins for catheterization by determining vessel diameters and displaying outlines based on user-selected instrument size. GlobalData’s report on Fujifilm SonoSite gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Fujifilm SonoSite, was a key innovation area identified from patents. Fujifilm SonoSite's grant share as of February 2024 was 77%. Grant share is based on the ratio of number of grants to total number of patents.
Method for identifying blood vessels in ultrasound images
A recently granted patent (Publication Number: US11896425B2) outlines a method and system designed to assist clinicians in selecting an appropriate vein for catheterization. The method involves receiving ultrasound echo signals reflected from an object, generating a time series of ultrasound images showing blood vessels, determining vessel diameters using a neural network, setting a maximum diameter based on probe pressure, receiving user input on instrument size, and indicating the selected vessel in the ultrasound image. The neural network also assigns vein or artery classifications to vessels and determines confidence levels for these classifications, with the display opacity adjusted accordingly.
Furthermore, the system includes a memory to store ultrasound images, a neural network, and a processor to receive ultrasound signals, determine vessel diameters, set maximum diameters, receive user input, and indicate the selected vessel in the ultrasound image. The processor also assigns vein or artery classifications, determines confidence levels, and adjusts display opacity based on these levels. Additional features include determining ratios of instrument size to vessel diameters, comparing ratios to a threshold, displaying vessel outlines in colors associated with instrument size, adjusting opacity based on distance to the image edge, generating additional ultrasound images with different imaging parameters, and using bounding containers to indicate vessel locations in images. These innovations aim to enhance the accuracy and efficiency of vein selection for catheterization procedures, ultimately improving patient care and outcomes.
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