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Abstract #2062

Choreography Controlled (ChoCo) by synchronized video for motion artifact reproducibility and dataset generation

Oscar Albert Dabrowski1, Sébastien Courvoisier2, Jean-Luc Falcone3, Antoine Klauser2, Julien Songeon3, Michel Kocher2, Bastien Chopard3, and Francois Lazeyras2
1Computer science, University of Geneva, Geneva, Switzerland, 2CIBM, Geneva, Switzerland, 3University of Geneva, Geneva, Switzerland


In the age of artificial intelligence, there is a need for simple and inexpensive frameworks aimed at performing standardized reproducible motion-controlled experiments allowing the creation of datasets of motion corrupted in vivo MRI scans. Focused on human brain imaging, we propose ChoCo: a choreography controlled protocol for reproducible head motion and an ad-hoc hardware device for synchronization between an MRI scanner and a movie displaying motion to be performed. A proof of concept demonstrated that 6 participants were able to reproduce head choreographies accurately. The resulting motion corrupted brain images show qualitatively similar artifacts, confirming consistent motion reproduction among subjects.

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