We've started the process of benchmarking our Computer Vision patient alignment technique against the current gold standard - IR-marker motion tracking.
In a 20 heathy-volunteer study, we will quantify and benchmark our AI technique using optical only imaging.
In a 20 heathy-volunteer study, we will quantify and benchmark our AI technique using optical only imaging.
Each volunteer will participate in a gold standard marker-based motion capture collection in the Interdisciplinary Movement Science Laboratory on the Anschutz Medical Campus. We record whole-body motion during replication of clinical breast RT positioning during free breathing, thoracic DIBH, and abdominal DIBH. Motion will be captured using 3-D position data from reflective markers measured from 10 infrared cameras (Fs = 100 Hz) (the gold standard for motion tracking). Simultaneously, we will acquire artificial intelligence (AI) human pose tracking using 6-10 synchronized cameras. The accuracy of our technique will be quantified against the motion capture gold-standard, and the optimum positioning and minimum number of cameras required to match current state of the art positioning accuracy will be identified. In a second optical-only imaging study, the volunteers will be imaged with current state-of-the-art surface guided imaging, with simultaneous AI human pose tracking will be recorded, and the resulting measurements compared.
