This inventor holds 1 USPTO granted patent. Top assignee: Varian Medical Systems International Ag. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Innovations in Radiation Treatment by Santtu T T Ollila
Introduction
Santtu T T Ollila is an accomplished inventor based in Helsinki, Finland. He has made significant contributions to the field of medical technology, particularly in radiation treatment planning. His innovative approaches leverage advanced imaging techniques to enhance the accuracy and effectiveness of treatment delivery.
Latest Patents
Ollila holds a patent for an invention titled "Automatically-planned radiation-based treatment." This patent focuses on utilizing deep learning approaches to automatically segment breast tissue images, while also employing non-deep learning methods to segment organs-at-risk. The invention integrates both three-dimensional CT imaging and two-dimensional orthogonal topogram imaging to determine virtual-skin volume. This imaging information is crucial for automatically calculating radiation treatment platform trajectories, collision detection, and virtual dry run information, all aimed at optimizing radiation treatment plans.
Career Highlights
Santtu T T Ollila is currently associated with Varian Medical Systems International AG, a leading company in the field of medical devices and software for cancer treatment. His work at Varian Medical Systems emphasizes the application of innovative technologies to improve patient outcomes in radiation therapy.
Collaborations
Ollila collaborates with notable colleagues such as Janne Iimari Nord and Anssi Kesti-Helia. Their combined expertise contributes to the advancement of medical technologies and enhances the development of effective treatment solutions.
Conclusion
Santtu T T Ollila's contributions to radiation treatment planning exemplify the intersection of technology and healthcare. His innovative patent demonstrates the potential of deep learning in improving treatment accuracy and patient care.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
