MingDe Lin

Title: The Innovations of MingDe Lin

Introduction

MingDe Lin is an accomplished inventor based in New Haven, CT (US). He has made significant contributions to the field of imaging data analysis, particularly in generating regions of interest for tracking treatment efficacy. His innovative approach aims to enhance the consistency and repeatability of medical imaging processes.

Latest Patents

MingDe Lin holds a patent for "Systems, methods, and apparatuses for generating regions of interest from voxel mode based thresholds." This patent describes implementations that relate to generating regions of interest from imaging data. The regions of interest are specifically designed for tracking treatment efficacy in a more consistent and repeatable manner. The process involves generating regions from both contrast medium and non-contrast medium enhanced scans of a patient. Voxel data derived from these scans can be collected and distributed according to respective intensity values to identify mode voxels for particular ranges of intensities. The resulting regions of interest can then be generated for each identified mode voxel, allowing for the determination of standard deviations for these regions. One or more thresholds can be derived from the determined standard deviations to further filter intensity values and identify filtered groups of voxels as the resulting regions of interest.

Career Highlights

Throughout his career, MingDe Lin has worked with notable organizations, including Koninklijke Philips Corporation N.V. and Yale University. His experience in these institutions has allowed him to collaborate with leading experts in the field and contribute to advancements in medical imaging technology.

Collaborations

MingDe Lin has collaborated with professionals such as Johanna Van Breugel and Susanne Smolka. These partnerships have played a crucial role in the development of his innovative solutions in imaging data analysis.

Conclusion

MingDe Lin's contributions to the field of imaging data analysis through his patent and collaborations highlight his commitment to improving medical imaging processes. His work continues to influence the way treatment efficacy is tracked and analyzed in clinical settings.