@misc{10481/55932,
year = {2018},
month = {6},
url = {http://hdl.handle.net/10481/55932},
abstract = {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.},
organization = {This work was supported by the MINECO/FEDER under
the TEC2012-34306 and TEC2015-64718-R projects and the
Ministry of Economy, Innovation, Science and Employment of
the Junta de Andalucía under the Excellence Project P11-TIC-
7103. The work was also supported by the Vicerectorate of
Research and Knowledge Transfer of the University of Granada.},
publisher = {Frontiers Media},
keywords = {Quantitative analysis},
keywords = {Multivariate analysis},
keywords = {Florbetaben},
keywords = {Alzheimer’s disease},
keywords = {Support vector machine},
keywords = {Positron emission tomography},
title = {Using CT Data to Improve the Quantitative Analysis of 18F-FBB PET Neuroimages},
doi = {10.3389/fnagi.2018.00158},
author = {Segovia Román, Fermín and Sánchez-Vañó, Raquel and Gorriz Sáez, Juan Manuel and Ramírez Pérez De Inestrosa, Javier and Sopena Novales, Pablo and Nathalie Testart Dardel and Rodríguez Fernández, Antonio and Gómez Río, Manuel},
}