This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: University of South Florida. Active years: 2016.
Company Filing History:
Years Active: 2016
Title: Brian Madow: Innovator in Quantitative Image Analysis
Introduction
Brian Madow is an accomplished inventor based in Apollo Beach, Florida. He has made significant contributions to the field of quantitative image analysis, particularly in the context of ocular health. His innovative approach has led to the development of a patented method that enhances the grading of vitreous haze in ocular fundus images.
Latest Patents
Madow holds a patent for his invention titled "Quantitative image analysis applied to the grading of vitreous haze." This invention includes an automated method for grading the blurring of ocular fundus images, which allows for the automated assessment of the severity of vitritis. The process involves converting standard fundoscopic images to gray-scale images, applying a low-pass filter to eliminate high-frequency components, and producing a difference image. This difference image is then converted to a final entropy image, which is processed using Fast Fourier Transform to calculate its power. Ultimately, a final blur score is calculated, providing a reliable measure of vitreous haze.
Career Highlights
Brian Madow is affiliated with the University of South Florida, where he continues to engage in research and development in the field of image analysis. His work has implications for improving diagnostic techniques in ophthalmology, thereby enhancing patient care.
Collaborations
Madow has collaborated with notable colleagues, including Christopher Lawrence Passaglia and David W. Richards. Their combined expertise contributes to the advancement of research in quantitative image analysis.
Conclusion
Brian Madow's innovative work in quantitative image analysis represents a significant advancement in the field of ocular health. His patented method for grading vitreous haze showcases the potential of automated techniques in improving diagnostic accuracy.
