Erlangen, Germany

Johan Sunnegaardh

USPTO Granted Patents = 2 

 

Average Co-Inventor Count = 2.7

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021-2023

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2 patents (USPTO):Explore Patents

Title: Johan Sunnegaardh: Innovator in Medical Imaging Technology

Introduction

Johan Sunnegaardh is a notable inventor based in Erlangen, Germany. He has made significant contributions to the field of medical imaging, particularly in computed tomography. With a total of 2 patents, his work focuses on enhancing the accuracy and efficiency of imaging techniques.

Latest Patents

One of Johan's latest patents is a method for the artifact correction of three-dimensional volume image data. This method involves receiving first volume image data based on projection measurement data acquired via a computed tomography device. The process includes ascertaining artifact-corrected second volume image data by applying a trained function to the first volume image data received. Another significant patent relates to calculating an image matrix size for reconstructing image data from projection data. This method calculates the image matrix size as a function of the axial field of view of the computed tomography system and a sharpness value in the image data to be reconstructed.

Career Highlights

Johan has worked with prominent companies in the healthcare sector, including Siemens Healthcare GmbH and Siemens Healthineers AG. His experience in these organizations has allowed him to develop innovative solutions that address challenges in medical imaging.

Collaborations

Throughout his career, Johan has collaborated with talented professionals, including Ute Feuerlein and Martin Petersilka. These collaborations have contributed to the advancement of technology in the medical imaging field.

Conclusion

Johan Sunnegaardh's contributions to medical imaging technology through his patents and collaborations highlight his role as an innovator in the field. His work continues to influence advancements in computed tomography and improve patient outcomes.

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