Article (Scientific journals)
Multivariate analysis of dual-point amyloid PET intended to assist the diagnosis of Alzheimer’s disease
Segovia, Fermin; Ramirez, J; Castillo-Barnes, D et al.
2020In Neurocomputing
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Keywords :
PET imaging; multivariate analysis; Alzheimer's disease
Abstract :
[en] 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 18FFluorodeoxyglucose (FDG) PET neuroimages. If corroborated, it would allow us to acquire information about brain injury and potential brain amyloid deposits in a single examination, using a dual-point protocol. In this work we assess the equivalence between early 18F-Florbetaben (FBB) PET and 18F-FDG PET data using multivariate approaches based on machine learning. In addition, we propose several systems based on data fusion that take advantage of the additional information provided by dual-point amyloid PET examinations. The proposed systems perform an initial dimensionality reduction of the data using a partial-least-square-based algorithm and then combine early and standard PET acquisitions using two approaches: multiple kernel learning (intermediate fusion) or an ensemble of two Support Vector Machine classi ers (late fusion). The proposed approaches were evaluated and compared with other fusion techniques using data from 43 subjects with cognitive impairments. They achieved a good trade-o between sensitivity and speci city and higher accuracy rates than systems based on single-modality approaches such as standard 18F-FBB PET data or 18F-FDG PET neuroimages.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Segovia, Fermin
Ramirez, J
Castillo-Barnes, D
Salas-Gonzalez, D
Gómez- Río, M
Sopena-Novales, P
Phillips, Christophe  ;  Université de Liège - ULiège > CRC In vivo Im.-Neuroimaging, data acquisition & processing
Zhang, Y
Górriz, JM
Language :
English
Title :
Multivariate analysis of dual-point amyloid PET intended to assist the diagnosis of Alzheimer’s disease
Publication date :
2020
Journal title :
Neurocomputing
ISSN :
0925-2312
eISSN :
1872-8286
Publisher :
Elsevier, Netherlands
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 01 July 2020

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