Varian Medical Systems International Ag

Siemens Healthineers International Ag

Helen Phillips

Janne Iimari Nord

Sylvie Spiessens

Anri Maarita Friman

Anssi Kesti-Helia

Francesca Attanasi

Santtu T T Ollila

Tor-Erik Malen

Anne Razavi

Santtu TT Ollila

Tori-Erik Malen

Deep learning approaches automatically segment at least some breast tissue images while non-deep learning approaches automatically segment organs-at-risk. Both three-dimensional CT imaging information and two-dimensional orthogonal topogram imaging information can be used to determine virtual-skin volume. The foregoing imaging information can also serve to automatically determine a body outline for at least a portion of the patient. That body outline, along with the virtual-skin volume and registration information can serve as inputs to automatically calculate radiation treatment platform trajectories, collision detection information, and virtual dry run information of treatment delivery per the optimized radiation treatment plan.

Automatically-planned radiation-based treatment

Growing community of inventors

Palo Alto, CA, United States of America

Helen Phillips