Researchers at the University of Alberta (U of A) in Canada have created technology that is helping physicians see how patients' joints function when in motion.
U of A's Pierre Boulanger says the research is aimed at creating "a complete dynamic model of the entire knee joint in motion, including bone, muscle, and cartilage." Specifically, Boulanger says the researchers are attempting "to use advanced neural network techniques to segment these knee structures using standard MRI (magnetic resonance imaging) and then track them using a novel real-time open MRI machine to capture the motion."
Using a deep learning algorithm, the technique can automatically segment knee anatomy based on samples provided by clinicians.
The technology could help physiotherapists and orthopedic surgeons understand how their treatments affect the body over time.
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