This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignees: Siemens Medical Solutions USA, Inc., University of Pennsylvania. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:


Years Active: 2026
Title: Mael Millardet: Innovator in Medical Imaging Technology
Introduction
Mael Millardet is a prominent inventor based in Knoxville, TN (US), known for his contributions to medical imaging technology. He has developed innovative methods that enhance the reconstruction of medical images, particularly in the field of positron emission tomography (PET).
Latest Patents
Millardet holds a patent for "Methods and apparatus for pet image reconstruction using multi-view histo-images of attenuation correction factors." This patent discloses systems and methods for reconstructing medical images based on trained deep learning processes. The process involves receiving image measurement data to generate a histo-image, followed by the creation of an attenuation histo-image based on an attenuation map. A trained machine learning process is then applied to these images to generate output image data that characterizes an image volume. This innovative approach significantly improves the accuracy and efficiency of medical imaging.
Career Highlights
Throughout his career, Mael Millardet has worked with notable organizations, including Siemens Medical Solutions USA, Inc. and the University of Pennsylvania. His experience in these institutions has allowed him to collaborate with leading experts in the field and contribute to advancements in medical technology.
Collaborations
Some of Millardet's notable coworkers include Samuel Matej and Deepak Bharkhada. Their collaborative efforts have furthered the development of innovative solutions in medical imaging.
Conclusion
Mael Millardet's work in medical imaging technology exemplifies the impact of innovation in healthcare. His patented methods for image reconstruction are paving the way for more accurate diagnostic tools, ultimately benefiting patients and medical professionals alike.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile