Koninklijke Philips has filed a patent for a method to determine tissue boundaries in ultrasound images. By generating two separate images with and without contrast enhancement, the boundaries of fluid-containing and tissue regions are identified using an image segmentation procedure. The computer-implemented method aims to improve accuracy in anatomical region imaging. GlobalData’s report on Koninklijke Philips 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 Koninklijke Philips, Treatment progress monitoring was a key innovation area identified from patents. Koninklijke Philips's grant share as of January 2024 was 57%. Grant share is based on the ratio of number of grants to total number of patents.
Method for determining tissue boundaries in ultrasound images
A computer-implemented method for determining tissue boundaries within an imaged anatomical region has been claimed in a filed patent (Publication Number: US20240032892A1). The method involves receiving ultrasound data from an anatomical region containing an object of interest with tissue boundaries bordering a fluid-receiving region. The ultrasound data is processed using different image-generating procedures to enhance visibility of fluid and suppress tissue regions. An image segmentation procedure is then applied to determine tissue boundaries, with a data output generated to represent these boundaries.
Furthermore, the method includes utilizing ultrasound signals acquired from successive pulses with varying power levels, where the second power level is double the first power level. The processing arrangement involves applying image-generating procedures to generate images based on these signals and segmenting them to determine tissue boundaries. The system also includes an ultrasound probe with a transducer array, a display device, and the processing arrangement for implementing the method described in the patent claim. This innovative approach aims to improve the accuracy and efficiency of identifying tissue boundaries within anatomical regions, particularly beneficial for applications involving the heart and fluid-containing regions.
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