Company Filing History:
Years Active: 2013-2016
Title: Innovations of Mingtao Zhao in Optical Coherence Tomography
Introduction
Mingtao Zhao is a prominent inventor based in Durham, NC (US), known for his contributions to the field of optical coherence tomography (OCT). He holds 3 patents that focus on methods and computer program products for quantitative three-dimensional image correction and clinical parameter computation in OCT. His work has significant implications for improving imaging techniques in medical diagnostics.
Latest Patents
Mingtao Zhao's latest patents include innovative methods and computer program products designed for quantitative three-dimensional image correction in optical coherence tomography. These methods allow for the segmentation of index interface (refracting) surfaces from raw OCT datasets. By calculating normal vectors or partial derivatives of the curvature at a refracting surface, the technology enables the computation of refracted image voxels. The iterative computation of new positions for each desired refracted image voxel leads to the interpolation of corrected voxel positions onto an even sampling grid, ultimately providing enhanced corrected image data. In certain embodiments, clinical outputs derived from the corrected image data can also be computed, showcasing the practical applications of his inventions.
Career Highlights
Mingtao Zhao is affiliated with Duke University, where he continues to advance research in optical imaging technologies. His work has garnered attention for its innovative approach to improving the accuracy and reliability of OCT imaging.
Collaborations
Mingtao Zhao has collaborated with notable colleagues such as Joseph A. Izatt and Anthony Kuo, contributing to the advancement of research in the field of optical coherence tomography.
Conclusion
Mingtao Zhao's contributions to optical coherence tomography through his patented innovations demonstrate his commitment to enhancing medical imaging technologies. His work not only advances scientific understanding but also has the potential to improve clinical outcomes in patient care.