Company Filing History:
Years Active: 2021-2023
Title: Innovations by Julian Hossbach
Introduction
Julian Hossbach is an accomplished inventor based in Erlangen, Germany. He has made significant contributions to the field of medical imaging, particularly in magnetic resonance imaging (MRI). With a total of 3 patents, Hossbach's work focuses on enhancing the accuracy and efficiency of imaging procedures.
Latest Patents
Hossbach's latest patents include innovative systems and methods that address motion-related challenges during medical imaging. One of his notable patents is the "Coil mixing error matrix and deep learning for prospective motion assessment." This invention utilizes a neural network to translate motion-induced deviations of a coil-mixing matrix into a motion score. This score aids in the prospective detection of corrupted echo trains, allowing for their removal or triggering a reacquisition. Another significant patent is the "Computer implemented method and system for magnetic resonance imaging." This method involves receiving and sampling subsets of k-space data, estimating motion parameters, and correcting the data based on these parameters. This approach enhances the quality of MRI images by accounting for patient movement.
Career Highlights
Throughout his career, Julian Hossbach has worked with prominent companies in the healthcare sector. He has been associated with Siemens Healthcare GmbH, where he contributed to advancements in medical imaging technology. Additionally, he has worked with The General Hospital Corporation, further solidifying his expertise in the field.
Collaborations
Hossbach has collaborated with notable professionals in his field, including Daniel Nicolas Splitthoff and Stephen Farman Cauley. These collaborations have likely enriched his work and contributed to the development of innovative solutions in medical imaging.
Conclusion
Julian Hossbach's contributions to medical imaging through his patents and collaborations highlight his role as a significant innovator in the field. His work continues to influence advancements in MRI technology, improving patient outcomes and imaging accuracy.
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