Taipei, Taiwan

Roland Angst


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2019

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Roland Angst - Innovator in 3D Endoscopic Data Reconstruction

Introduction

Roland Angst is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of medical imaging, particularly in the area of endoscopic data processing. His innovative work has the potential to enhance the accuracy and effectiveness of medical procedures.

Latest Patents

Roland Angst holds a patent for "3D reconstruction and registration of endoscopic data." This invention describes methods and systems for three-dimensional (3D) reconstruction of endoscopic data. In one embodiment, the method involves processing a plurality of images captured by an endoscope, which includes at least a portion of an organ. The preprocessing step estimates variations in light intensity within the captured scenes and generates a set of color-adjusted images based on those variations. The method further includes generating a 3D point cloud representing points on the surface of the organ, defining a mesh based on the 3D point cloud, and generating a texture of the organ's surface based on the color-adjusted images.

Career Highlights

Roland Angst is affiliated with Leland Stanford Junior University, where he continues to advance his research in medical imaging technologies. His work is instrumental in bridging the gap between technology and healthcare, providing innovative solutions that can improve patient outcomes.

Collaborations

Some of his notable coworkers include Kristen L. Lurie and Dimitar V. Zlatev. Their collaborative efforts contribute to the ongoing research and development in the field of endoscopic imaging.

Conclusion

Roland Angst's contributions to the field of 3D reconstruction of endoscopic data exemplify the intersection of technology and medicine. His innovative patent has the potential to significantly impact medical imaging practices and improve surgical procedures.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…