Erlangen, Germany

Corinna Bürger

USPTO Granted Patents = 1 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2013

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1 patent (USPTO):Explore Patents

Title: Corinna Bürger: Innovator in Medical Imaging Technology

Introduction

Corinna Bürger is a prominent inventor based in Erlangen, Germany. She has made significant contributions to the field of medical imaging, particularly in the differentiation of brain matter types. Her innovative work has led to the development of a patented method that enhances the accuracy of computed tomography (CT) examinations.

Latest Patents

Corinna Bürger holds a patent for a "Method for distinguishing between gray matter and white matter and CT system for carrying out the method." This invention provides a novel approach to distinguishing between gray matter and white matter using time-dependent computed tomography image data from perfusion CT examinations. The method involves calculating multiple time-independent images from the time-dependent data, performing threshold histogram analyses to identify brain regions, and determining gray matter regions through logical combinations and exclusion methods. This advancement is crucial for improving diagnostic capabilities in medical imaging.

Career Highlights

Corinna Bürger is associated with Siemens Aktiengesellschaft, a leading company in the field of technology and healthcare. Her work at Siemens has allowed her to collaborate with other experts in the field, contributing to the advancement of medical imaging technologies.

Collaborations

Throughout her career, Corinna has worked alongside notable colleagues such as Ernst Klotz and Jochen Schleu. Their collaborative efforts have furthered the development of innovative solutions in medical imaging.

Conclusion

Corinna Bürger's contributions to medical imaging through her patented methods exemplify the impact of innovation in healthcare technology. Her work not only enhances diagnostic accuracy but also paves the way for future advancements in the field.

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