Charles A Reisman

Title: The Innovative Contributions of Charles A. Reisman

Introduction

Charles A. Reisman, a prominent inventor based in Mamaroneck, NY, holds an impressive portfolio of 14 patents. His work has significantly advanced technologies in the field of optical coherence tomography (OCT) and machine learning, particularly in the area of retinal image analysis.

Latest Patents

Among his latest inventions is the "Multivariate and Multi-Resolution Retinal Image Anomaly Detection System." This innovative technology employs machine learning to effectively differentiate between normal and abnormal subjects using optical coherence tomography images. By training machine learning algorithms solely on normative data, the system can extract features or physiological structures from these images to categorize them accordingly. Moreover, the system can mask and reconstruct regions of an image, determining a similarity between the reconstructed region and the original. This allows for the identification of abnormalities along with a severity score.

Another notable patent involves "OCT Angiography Calculation with Optimized Signal Processing." This invention details methods and systems for angiographic imaging using OCT that incorporate ratio-based and angiographic deviation calculations. The approach leverages various techniques, including arbitrary interframe permutations and windowing functions, to enhance imaging results. By implementing a minimum intensity threshold, the system efficiently determines which pixels should be included in the imaging process.

Career Highlights

Charles A. Reisman has made substantial contributions to the field of medical imaging and technology. He has worked with esteemed organizations such as Topcon Corporation and Kabushiki Kaisha Topcon, where he contributed his expertise to the development of advanced imaging systems.

Collaborations

Throughout his career, Reisman has collaborated with notable colleagues, including Qi Yang and Zhenguo Wang. These partnerships have facilitated the exchange of ideas and expertise that have been vital in driving innovative solutions in the realm of optical imaging.

Conclusion

Charles A. Reisman's relentless pursuit of innovation has led to groundbreaking developments in retinal imaging technology. His patents not only demonstrate his profound understanding of machine learning and optical coherence tomography but also reflect his commitment to advancing medical diagnostics. As technology evolves, Reisman's contributions will undoubtedly continue to have a lasting impact on the field of medical imaging.