Adaptive data-driven motion detection and optimized correction for brain PET.
Enette Mae RevillaJean-Dominique GallezotMika NaganawaTakuya ToyonagaKathryn FontaineTim MulnixJohn A. OnofreyRichard E. CarsonYihuan LuPublished in: NeuroImage (2022)
Keyphrases
- motion detection
- data driven
- detection algorithm
- video surveillance
- image sequences
- background subtraction
- surveillance system
- motion estimation
- object tracking
- human brain
- pet images
- image segmentation
- flow field
- temporal filtering
- post processing
- sparse representation
- maximum likelihood
- probabilistic model
- moving objects
- feature extraction
- moving target
- brain images