Rochester, NY, United States of America

Jose Tamez Pena


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 73(Granted Patents)


Company Filing History:


Years Active: 2001

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

Title: Innovations of Jose Tamez Pena in 4D Reconstruction and Visualization

Introduction

Jose Tamez Pena is an accomplished inventor based in Rochester, NY (US). He has made significant contributions to the field of medical imaging, particularly through his innovative patent that enhances the visualization of objects in four dimensions. His work is pivotal in advancing the capabilities of magnetic resonance imaging.

Latest Patents

Jose Tamez Pena holds a patent for a "System and method for 4D reconstruction and visualization." This invention allows for the reconstruction and visualization of objects in four dimensions, utilizing raw image data obtained through magnetic resonance imaging. The process involves dividing the initial image into regions based on statistical estimations and extrapolating these regions across a sequence of images. This method leverages known motion characteristics to estimate both rigid and deformational motion, ultimately enabling interaction with the object in a four-dimensional virtual reality environment. He has 1 patent to his name.

Career Highlights

Jose Tamez Pena is affiliated with the University of Rochester, where he continues to push the boundaries of medical imaging technology. His work not only contributes to academic research but also has practical implications in the medical field, enhancing diagnostic capabilities.

Collaborations

Throughout his career, Jose has collaborated with notable colleagues, including Kevin J Parker and Saara Marjatta Sofia Totterman. These collaborations have further enriched his research and innovation efforts.

Conclusion

Jose Tamez Pena's contributions to 4D reconstruction and visualization represent a significant advancement in medical imaging technology. His innovative approach has the potential to transform how medical professionals visualize and interact with complex data.

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