Recently Principal Component Analysis (PCA) was suggested as a potential way to extract motion signals (e.g: cardiac beat and respiratory signals) from the coincidences stream of the PET scan. Proofs of principle ensued.
Presotto, L., DE BERNARDI, E., Gilardi, M., Gianolli, L., Bettinardi, V. (2016). Performances of Principal Component Analysis for the extraction of respiratory signal from Time-of-Flight PET coincidences stream. In 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014 (pp.1-4). Institute of Electrical and Electronics Engineers Inc. [10.1109/NSSMIC.2014.7430956].
Performances of Principal Component Analysis for the extraction of respiratory signal from Time-of-Flight PET coincidences stream
PRESOTTO, LUCAPrimo
;DE BERNARDI, ELISABETTASecondo
;Gilardi, M;
2016
Abstract
Recently Principal Component Analysis (PCA) was suggested as a potential way to extract motion signals (e.g: cardiac beat and respiratory signals) from the coincidences stream of the PET scan. Proofs of principle ensued.
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