Konica Minolta has patented an ultrasonic image diagnostic apparatus that can change the identifier used to analyze images based on the type of ultrasonic probe used. This innovation allows for more accurate identification of target objects in ultrasonic images. GlobalData’s report on Konica Minolta 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 Konica Minolta, E-transaction user interfaces was a key innovation area identified from patents. Konica Minolta's grant share as of February 2024 was 39%. Grant share is based on the ratio of number of grants to total number of patents.
Ultrasonic image diagnostic apparatus with adjustable identification target object identifiers
A recently granted patent (Publication Number: US11925506B2) discloses an ultrasonic image diagnostic apparatus designed to enhance the accuracy and efficiency of identifying target objects in ultrasonic images. The apparatus includes an ultrasonic image acquisitor, an identification result acquisitor, and a hardware processor that can adjust the identifier used for identification based on various factors. These factors include the type of ultrasonic probe being used, user input, the type of identification target object, the identification result, processing time, certainty factor, and more.
Moreover, the patent also covers an identifier changing method and a non-transitory recording medium storing a computer-readable identifier changing program. The method involves acquiring an ultrasonic image, inputting it to multiple identifiers for identification, and changing the identifier based on the type of ultrasonic probe. The recording medium contains instructions for a computer to perform the same process. Additionally, the apparatus can adjust the identifier based on factors such as the state of the ultrasonic probe (aerial radiation or contact with the subject), communication method between the apparatus and the probe, angle of contact with the subject, subject information (name, age, sex, etc.), and user information. This innovative technology aims to improve the accuracy and efficiency of ultrasonic image diagnostics by optimizing the identification process based on various contextual factors.
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