Topcon had three patents in big data during Q1 2024. Topcon Corp filed patents for a grade evaluation apparatus for blood vessel distribution images obtained through OCT-angiography, calculating evaluation values based on criteria to determine a grade value. Another patent is for an OCT apparatus that acquires three-dimensional data sets from different regions of a sample, generates image data, performs registration, and composes the pieces of image data for analysis. GlobalData’s report on Topcon gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Topcon grant share with big data as a theme is 33% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Grade evaluation apparatus, ophthalmic imaging apparatus, non-transitory computer-readable storage medium, and grade evaluation method (Patent ID: US20240057861A1)
The patent filed by Topcon Corp describes a grade evaluation apparatus for blood vessel distribution images obtained through OCT-angiography. The apparatus includes a control device that processes the image to calculate evaluation values based on specific criteria and then determines a grade value indicating the quality of the blood vessel distribution image. The evaluation values can be used to classify the image into different classes using logistic regression or decision tree algorithms.
The control device in the grade evaluation apparatus calculates evaluation values such as the number of artifacts, black bands, signal-to-noise ratio, sharpness of blood vessels, degree of coupling of blood vessels, noise levels, and contrast variation in the image. These evaluation values are crucial in determining the overall grade of the blood vessel distribution image. The patent also covers an ophthalmic imaging apparatus incorporating this grade evaluation system and a computer-readable storage medium storing a program for performing the evaluation process. Additionally, a grade evaluation method for blood vessel distribution images is outlined, involving the calculation of evaluation values and a grade value by a computer processor based on OCT-angiography images of blood vessel distributions in the eyeball.
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