Using CT Data to Improve the Quantitative Analysis of 18F-FBB PET Neuroimages Segovia Román, Fermín Sánchez-Vañó, Raquel Gorriz Sáez, Juan Manuel Ramírez Pérez De Inestrosa, Javier Sopena Novales, Pablo Nathalie Testart Dardel Rodríguez Fernández, Antonio Gómez Río, Manuel Quantitative analysis Multivariate analysis Florbetaben Alzheimer’s disease Support vector machine Positron emission tomography 18F-FBB PET is a neuroimaging modality that is been increasingly used to assess brain amyloid deposits in potential patients with Alzheimer’s disease (AD). In this work, we analyze the usefulness of these data to distinguish between AD and non-AD patients. A dataset with 18F-FBB PET brain images from 94 subjects diagnosed with AD and other disorders was evaluated by means of multiple analyses based on t-test, ANOVA, Fisher Discriminant Analysis and Support Vector Machine (SVM) classification. In addition, we propose to calculate amyloid standardized uptake values (SUVs) using only gray-matter voxels, which can be estimated using Computed Tomography (CT) images. This approach allows assessing potential brain amyloid deposits along with the gray matter loss and takes advantage of the structural information provided by most of the scanners used for PET examination, which allow simultaneous PET and CT data acquisition. The results obtained in this work suggest that SUVs calculated according to the proposed method allow AD and non-AD subjects to be more accurately differentiated than using SUVs calculated with standard approaches. 2019-06-05T08:21:46Z 2019-06-05T08:21:46Z 2018-06-07 info:eu-repo/semantics/article Segovia F, Sánchez-Vañó R, Górriz JM, Ramírez J, Sopena-Novales P, Testart Dardel N, Rodríguez-Fernández A and Gómez-Río M (2018) Using CT Data to Improve the Quantitative Analysis of 18F-FBB PET Neuroimages. Front. Aging Neurosci. 10:158. [doi: 10.3389/fnagi.2018.00158] http://hdl.handle.net/10481/55932 10.3389/fnagi.2018.00158 eng http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess Atribución 3.0 España Frontiers Media