Mosman, Australia

Benjamin Schmitt


Average Co-Inventor Count = 2.1

ph-index = 2

Forward Citations = 6(Granted Patents)


Location History:

  • Naremburn, AU (2017)
  • Mosman, AU (2017)
  • Nürnberg, DE (2017)
  • Naremburn NSW, AU (2018)

Company Filing History:


Years Active: 2017-2018

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6 patents (USPTO):Explore Patents

Title: The Innovations of Benjamin Schmitt

Introduction

Benjamin Schmitt is a notable inventor based in Mosman, Australia. He has made significant contributions to the field of magnetic resonance imaging, holding a total of six patents. His work focuses on improving the quality and efficiency of MR imaging techniques.

Latest Patents

One of Schmitt's latest patents is a method and magnetic resonance apparatus for reconstructing an MR image dependent on the chemical shift. This innovative method involves acquiring MR data within a volume segment using a separation method. The process allows for the reconstruction of images of different substances while compensating for relative displacement due to chemical shifts. Another significant patent is a method and apparatus for magnetic resonance imaging that enhances the saturation of magnetic resonance signals during acquisition sequences. This method includes a structured acquisition cycle that improves the overall quality of the imaging process.

Career Highlights

Benjamin Schmitt is currently employed at Siemens Aktiengesellschaft, a leading company in the field of technology and engineering. His work at Siemens has allowed him to develop and refine his innovative techniques in magnetic resonance imaging.

Collaborations

Schmitt has collaborated with several talented individuals in his field, including Dominik Paul and John Kirsch. These collaborations have contributed to the advancement of his research and the successful development of his patents.

Conclusion

Benjamin Schmitt's contributions to magnetic resonance imaging demonstrate his commitment to innovation and excellence in his field. His patents reflect a deep understanding of the complexities involved in MR imaging, paving the way for future advancements.

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