Texture-Based Analysis of 18F-Labeled Amyloid PET Brain Images



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Seiffert, Alexander P. and Gómez-Grande, Adolfo and Milara, Eva and Llamas Velasco, Sara and Villarejo Galende, Alberto and Gómez, Enrique J. and Sánchez-González, Patricia (2021) Texture-Based Analysis of 18F-Labeled Amyloid PET Brain Images. Applied Sciences, 11 (5). p. 1991. ISSN 20763417

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Official URL: https://doi.org/10.3390/app11051991


Amyloid positron emission tomography (PET) brain imaging with radiotracers like [18F]florbetapir (FBP) or [18F]flutemetamol (FMM) is frequently used for the diagnosis of Alzheimer’s disease. Quantitative analysis is usually performed with standardized uptake value ratios (SUVR), which are calculated by normalizing to a reference region. However, the reference region could present high variability in longitudinal studies. Texture features based on the grey-level co-occurrence matrix, also called Haralick features (HF), are evaluated in this study to discriminate between amyloid-positive and negative cases. A retrospective study cohort of 66 patients with amyloid PET images (30 [18F]FBP and 36 [18F]FMM) was selected and SUVRs and 6 HFs were extracted from 13 cortical volumes of interest. Mann–Whitney U-tests were performed to analyze differences of the features between amyloid positive and negative cases. Receiver operating characteristic (ROC) curves were computed and their area under the curve (AUC) was calculated to study the discriminatory capability of the features. SUVR proved to be the most significant feature among all tests with AUCs between 0.692 and 0.989. All HFs except correlation also showed good performance. AUCs of up to 0.949 were obtained with the HFs. These results suggest the potential use of texture features for the classification of amyloid PET images

Item Type:Article
Uncontrolled Keywords:Alzheimer’s disease; amyloid PET; florbetapir; flutemetamol; Haralick features; greylevel co-occurrence matrix; texture analysis; SUVR
Subjects:Medical sciences > Medicine > Neurosciences
ID Code:70752
Deposited On:24 Feb 2022 15:02
Last Modified:25 Feb 2022 08:54

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