Eric Fournie

Title: Eric Fournie: Innovator in Machine Learning and CT Imaging

Introduction

Eric Fournie is a notable inventor based in Erlangen, Germany. He has made significant contributions to the fields of machine learning and computed tomography (CT) imaging. With a total of four patents to his name, Fournie's work focuses on enhancing the accuracy and efficiency of imaging techniques.

Latest Patents

Fournie's latest patents include a method for processing parameters of a machine learning method and a reconstruction method. This method is designed to provide a correction dataset for motion correction of a CT image dataset of an object that moves during recording. The process involves providing a training dataset with reference image datasets for introduction into the machine-learning method. Iteration is performed to determine a correction dataset for each reference image dataset, and the iteration is adjusted based on the results of a cost function. Additionally, he has developed a method for motion correction of spectral computed tomography data, which includes an energy-sensitive CT device. This method provisions spectral CT data of a moving object, identifies structures within the data, calculates a motion vector field, and produces a motion-corrected CT image.

Career Highlights

Throughout his career, Fournie has worked with prominent companies such as Siemens Healthcare GmbH and Biotronik CRM Patent AG. His experience in these organizations has allowed him to refine his skills and contribute to innovative solutions in medical imaging.

Collaborations

Fournie has collaborated with notable professionals in his field, including Michael Diebold and Jim Horton. These collaborations have further enriched his work and expanded the impact of his inventions.

Conclusion

Eric Fournie's contributions to machine learning and CT imaging demonstrate his commitment to advancing technology in healthcare. His innovative patents and collaborations highlight his role as a key figure in the field.