Fujitsu has been granted a patent for a computer-readable medium storing an image processing program. The program extracts consecutive pixels from an image of a body, identifies lung fields, and generates a coronal image based on computed tomography data. This innovation aids in medical imaging analysis. GlobalData’s report on Fujitsu gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Fujitsu, M2M communication interfaces was a key innovation area identified from patents. Fujitsu's grant share as of February 2024 was 50%. Grant share is based on the ratio of number of grants to total number of patents.

Image processing program for identifying lung field in body

Source: United States Patent and Trademark Office (USPTO). Credit: Fujitsu Ltd

A recently granted patent (Publication Number: US11925492B2) discloses an image processing program stored on a non-transitory computer-readable medium that enables a computer to execute a process for identifying specific parts of a body, such as the lung field, in medical images. The process involves extracting consecutive pixels from an image, obtaining statistical values of these pixels, and identifying the part of the body based on these values. By utilizing computed tomography images and pixel columns, the program can accurately locate and generate detailed images of the lung field, aiding in medical diagnostics. The identification process is based on comparing statistical values to predetermined thresholds, ensuring precise identification of the targeted body parts.

Furthermore, the patent also covers an image processing apparatus and method that implement the same process for identifying body parts, particularly focusing on the lung field. The apparatus includes a memory storing body images and a processor that extracts consecutive pixels, calculates statistical values, and accurately identifies the targeted body parts based on predetermined thresholds. Similarly, the method involves extracting pixels, obtaining statistical values, and identifying body parts using computed tomography images and pixel columns. By comparing statistical values to specific thresholds, the method ensures accurate identification of the lung field and other body parts, providing valuable assistance in medical imaging and diagnostics.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.