This inventor holds 2 USPTO granted patents and 1 EPO patent. Top assignee: Siemens Healthineers Ag. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations of Philipp Puls in Magnetic Field Gradient Correction
Introduction
Philipp Puls is an accomplished inventor based in Erlangen, Germany. He has made significant contributions to the field of magnetic resonance (MR) technology, particularly in the area of magnetic field gradient corrections. With a total of 2 patents, his work is pivotal in enhancing the accuracy and efficiency of MR systems.
Latest Patents
Philipp Puls's latest patents focus on methods for reducing and correcting magnetic field gradient deviations. The first patent describes a method that utilizes input data for a trained function, which is developed through a machine-learning algorithm. This function processes information about the target gradient of the MR system and generates output data that helps in minimizing deviations from the target gradient. The second patent elaborates on a similar approach, detailing how deviations caused by both the amplifier and the gradient coil can be corrected. This innovative work is crucial for improving the performance of MR systems.
Career Highlights
Philipp Puls is currently employed at Siemens Healthineers AG, a leading company in the healthcare technology sector. His role involves developing advanced solutions that enhance MR imaging capabilities. His expertise in machine learning and magnetic field technology positions him as a key player in the ongoing evolution of medical imaging.
Collaborations
Philipp collaborates with talented professionals such as Manuel Stich and Moritz Berger. Their combined efforts contribute to the innovative advancements in MR technology, fostering a collaborative environment that drives research and development.
Conclusion
Philipp Puls's contributions to the field of magnetic resonance technology through his patents and work at Siemens Healthineers AG highlight his role as a significant innovator. His efforts in reducing magnetic field gradient deviations are essential for the future of medical imaging.