Erlangen, Germany

Daniel Przioda


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Daniel Przioda

Introduction

Daniel Przioda is a notable inventor based in Erlangen, Germany. He has made significant contributions to the field of magnetic resonance imaging. His work focuses on improving the methods used to acquire magnetic resonance data sets, which are crucial for medical diagnostics.

Latest Patents

Daniel Przioda holds a patent for a "Method for acquiring a magnetic resonance data set, data storage medium, computer program product, and magnetic resonance system." This innovative method involves a scan sequence that includes a succession of sequence blocks. Each block contains at least one sub-block with an excitation section and/or a detection section. The excitation section features at least one excitation pulse, while the detection section acquires an echo signal or echo train as a scan signal. The method also incorporates motion information for each sub-block, which provides insights into the movement of the object being examined. Notably, some sub-blocks are automatically repeated based on motion information that exceeds a defined threshold value.

Career Highlights

Daniel Przioda is currently employed at Siemens Healthcare GmbH, a leading company in the healthcare technology sector. His work at Siemens has allowed him to contribute to advancements in medical imaging technology. With a focus on innovation, he continues to push the boundaries of what is possible in magnetic resonance imaging.

Collaborations

Daniel has collaborated with talented coworkers, including Daniel Nicolas Splitthoff and Tobias Kober. These collaborations have fostered a creative environment that encourages the development of groundbreaking technologies in the healthcare field.

Conclusion

Daniel Przioda's contributions to magnetic resonance imaging exemplify the importance of innovation in healthcare technology. His patent and work at Siemens Healthcare GmbH highlight his commitment to improving medical diagnostics through advanced imaging methods.

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