Company Filing History:
Years Active: 2019
Title: Innovations in Retinal Imaging: The Contributions of Shenghai Huang
Introduction
Shenghai Huang is a notable inventor based in Zhejiang, China. He has made significant contributions to the field of retinal imaging through his innovative methods and technologies. His work focuses on enhancing the diagnosis and monitoring of retinal vascular diseases, which is crucial for improving patient outcomes.
Latest Patents
One of Shenghai Huang's key patents is the "Automatic three-dimensional segmentation method for OCT and Doppler OCT angiography." This invention introduces a three-dimensional segmentation method that utilizes intensity-based Doppler variance (IBDV) based on swept-source optical coherence tomography (OCT). The method is designed to obtain seven surfaces of intra-retinal layers, allowing for a detailed visualization of the microvascular network of the retina. By dividing the microvascular network into six individual layers, the segmentation method enhances the morphology and contrast of images. This innovation has the potential for earlier diagnosis and precise monitoring of retinal vascular diseases. The method employs a subpixel registration algorithm to minimize eye movement and utilizes GPU acceleration for real-time data processing.
Career Highlights
Shenghai Huang is affiliated with the University of California, where he continues to advance research in retinal imaging technologies. His work has garnered attention for its practical applications in clinical settings, particularly in the field of ophthalmology.
Collaborations
Shenghai Huang has collaborated with esteemed colleagues such as Zhongping Chen and Lu Fan. Their combined expertise has contributed to the development of advanced imaging techniques that benefit the medical community.
Conclusion
Shenghai Huang's innovative contributions to retinal imaging exemplify the importance of research and development in medical technology. His work not only enhances diagnostic capabilities but also paves the way for improved patient care in retinal vascular diseases.
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