Company Filing History:
Years Active: 2013-2016
Title: Gernot Ebel: Innovator in Image Reconstruction Technology
Introduction
Gernot Ebel is a notable inventor based in Goettingen, Germany. He has made significant contributions to the field of image reconstruction technology, particularly in medical imaging. With a focus on innovative methods, Ebel has secured a total of 2 patents that showcase his expertise and creativity.
Latest Patents
Ebel's latest patents include groundbreaking methods for image reconstruction. The first patent, titled "Transmission Image Reconstruction and Imaging Using Poissonian Detector Data," describes a method for reconstructing an image that represents a region of investigation within an object. This method utilizes detector data with Poisson random values obtained from X-ray transmission measurements. The reconstruction process involves minimizing a functional to achieve the global minimum, resulting in a precise image representation.
The second patent, "Tomographic Imaging Using Poissonian Detector Data," outlines a method for reconstructing a tomographic image of a specific region within an object. This process also relies on detector data comprising Poisson random values and includes a predetermined system matrix. The reconstruction step incorporates a procedure for minimizing a functional that depends on both the detector data and the system matrix, ensuring an accurate representation of the object.
Career Highlights
Gernot Ebel is currently associated with Scivis Wissenschaftliche Bildverarbeitung GmbH, where he continues to develop innovative imaging solutions. His work has significantly advanced the field of image reconstruction, making it more efficient and effective for various applications.
Collaborations
Ebel collaborates with Timo Aspelmeier, contributing to the development of cutting-edge imaging technologies. Their partnership enhances the research and innovation capabilities within their organization.
Conclusion
Gernot Ebel's contributions to image reconstruction technology exemplify his dedication to innovation and excellence. His patents reflect a deep understanding of complex imaging processes, positioning him as a key figure in the field.