Company Filing History:
Years Active: 2014-2019
Title: Innovations of Kun-Chang Yu in Medical Imaging
Introduction
Kun-Chang Yu is a notable inventor based in State College, PA (US). He has made significant contributions to the field of medical imaging, holding a total of 3 patents. His work focuses on developing advanced systems and methodologies that enhance the accuracy and efficiency of medical image reporting.
Latest Patents
One of his latest patents is a medical image reporting system and method that relates to medical imaging, specifically for automatic lymph node station mapping. This invention describes a computer-based system that automatically locates central chest lymph-node stations in a 3D MDCT image. The system employs automated analysis methods to extract various anatomical structures, including the airway tree and major-airway labels. It utilizes geometrical and anatomical cues to localize major nodal stations, displaying them in a 3D format for user interaction.
Another significant patent by Kun-Chang Yu is also a medical image reporting system and method, which focuses on reconstructing a model path through branched tubular organs. This invention introduces novel methodologies for segmenting and defining accurate endoluminal surfaces in airway trees. An automatic algorithm is described that searches the entire lung volume for airway branches, posing airway-tree segmentation as a global graph-theoretic optimization problem. This system also includes interactive segmentation tools for refining critical areas of the automatically segmented results.
Career Highlights
Kun-Chang Yu is affiliated with the Penn State Research Foundation, where he continues to innovate in the field of medical imaging. His work has garnered attention for its potential to improve diagnostic accuracy and patient outcomes.
Collaborations
He has collaborated with notable colleagues, including William E. Higgins and Jason David Gibbs, contributing to the advancement of medical imaging technologies.
Conclusion
Kun-Chang Yu's contributions to medical imaging through his innovative patents demonstrate his commitment to enhancing healthcare technology. His work not only reflects his expertise but also has the potential to significantly impact the medical field.