Company Filing History:
Years Active: 2016
Title: Innovations in X-ray Imaging by Karsten Schörner
Introduction
Karsten Schörner is a notable inventor based in Munich, Germany. He has made significant contributions to the field of medical imaging, particularly in the development of methods to enhance the quality of X-ray images. With a total of 2 patents, Schörner's work focuses on correcting artifacts that can compromise the accuracy of imaging results.
Latest Patents
Schörner's latest patents include a method and apparatus for correcting artifacts during the generation of X-ray images, specifically in computed tomography and radiography. The first patent addresses artifacts caused by scattered radiation, utilizing a temporally alterable modulation of primary radiation. This innovative approach allows for the generation of amplitude-modulated modulation projections of the object, along with a calculated scattered image, making it particularly suitable for fast CT scans. The second patent involves a method and device that correct artifacts during X-ray imagery by employing a moving modulator field. This technique enables the interchange of modulator field areas with varying X-ray attenuation coefficients, enhancing the quality of the images produced.
Career Highlights
Karsten Schörner is currently associated with Siemens Aktiengesellschaft, a leading company in the field of technology and engineering. His work at Siemens has allowed him to focus on advancing medical imaging technologies, contributing to the company's reputation for innovation in healthcare solutions.
Collaborations
One of Schörner's notable collaborators is Matthias Goldammer. Their partnership has fostered advancements in the field of X-ray imaging, leading to the development of cutting-edge technologies that improve diagnostic capabilities.
Conclusion
Karsten Schörner's contributions to the field of X-ray imaging through his innovative patents demonstrate his commitment to enhancing medical technology. His work continues to influence the way X-ray images are generated and interpreted, ultimately benefiting patient care.