Multivariate analysis of dual-point amyloid PET intended to assist the diagnosis of Alzheimer’s disease

• Published in: Neurocomputing (Amsterdam) Vol. 417; pp. 1 - 9
• Main Authors: Segovia, F., Ramírez, J., Castillo-Barnes, D., Salas-Gonzalez, D., Gómez-Río, M., Sopena-Novales, P., Phillips, C., Zhang, Y., Górriz, J.M.
• Format: Journal Article Web Resource
• Language: English
• Published: Elsevier B.V 05.12.2020; Elsevier
• Subjects: Alzheimer's disease; Amyloid PET imaging; Computer aided diagnosis; Engineering, computing & technology; Ingénierie, informatique & technologie; Late fusion; Multimodal systems; Multiple kernel learning; multivariate analysis; Partial least squares; PET imaging; Support vector machine; Late fusion; Multiple kernel learning; Alzheimer’s disease; Amyloid PET imaging; Multimodal systems; Computer aided diagnosis; Support vector machine; Partial least squares

Several studies have recently suggested that amyloid Positron Emission Tomography (PET) data acquired immediately after the radiotracer injection provide information related to the brain metabolism, similar to that contained in 18F-Fluorodeoxyglucose (FDG) PET neuroimages. If corroborated, it would...