Come see our abstract presentation at the ARS 105th Annual Meeting. Lahaina, HI, May 17 – 21, 2023
Computer Vision Assisted Collision Avoidance for Radiation Therapy
Noncoplanar treatment fields and more complex immobilization devices offer improved treatment quality, but come with increased risk of collisions between gantry, couch, and patient. Various strategies based on patient’s computed tomography (CT) imaging have been proposed to predict collisions, but due to limited CT length the patient’s full body position often remains unknown. Real time full body patient modelling using computer vision algorithms has the potential to contribute to improvement in the safety and efficiency of the treatment workflow.
Computer Vision Assisted Collision Avoidance for Radiation Therapy
Noncoplanar treatment fields and more complex immobilization devices offer improved treatment quality, but come with increased risk of collisions between gantry, couch, and patient. Various strategies based on patient’s computed tomography (CT) imaging have been proposed to predict collisions, but due to limited CT length the patient’s full body position often remains unknown. Real time full body patient modelling using computer vision algorithms has the potential to contribute to improvement in the safety and efficiency of the treatment workflow.
