MOESM1 of Spill-in counts in the quantification of 18F-florbetapir on Aβ-negative subjects: the effect of including white matter in the reference region
Creators: name: López-González, Francisco
name: Moscoso, Alexis
name: Efthimiou, Nikos
name: Fernández-Ferreiro, Anxo
name: Piñeiro-Fiel, Manuel
name: Archibald, Stephen
name: Aguiar, Pablo
name: Silva-Rodríguez, Jesús
Publisher: name: figshare
Year: 2019
Subjects: subject: Space Science
subject: Medicine
subject: Cell Biology
subject: Neuroscience
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: FOS: Biological sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: FOS: Computer and information sciences

description: Additional file 1: Figure S1. Detailed view of some of the results of the image processing and their relationships. On the top: Original MRI and PET images and results of the MRI normalization (warped atlas) and segmentation. On the bottom: GM patient-specific atlas generated from the warped atlas and the GM. PVC labels including WM and CSF together with the GM specific atlas and BrainVIset input (iteration 0) activity and attenuation maps. Figure S2. Comparison of SUVR values measured on our lab (x-axis) and data calculated by the ADNI PET Core at Berkeley (y-axis) for our final subject sample. Average differences between Berkeley calculations and ours were found to be ± 4.6%. These small differences are mainly due to different processing pipelines, such as different segmentation methods (CAT vs. Freesurfer), atlas (Hammersmith vs Desikan) or quantification space (patient vs. MNI). Figure S3. Distribution of WM values across the studied ADNI2 sub-sample. Only amyloid-negative patients are presented. The bars represent the number of patients on each bin of the histogram, while the black solid line represent the Gaussian distribution of the histogram. Figure S4. Visual comparison of the correlations of cortex SUVR (x-axis) with WM-SUVRCGM, using both the whole WM (green) and the Eroded WM (purple) as WM regions. Figure S5. Relation between WM-SUVRCGM (x-axis) and GM SUVR using the whole cerebellum as a reference region (SUVRWC). The Figure represents the actual cohort used for this work (amyloid-negative patients, blue points), and patients excluded for being positive according to the ADNI SUVRWC =1.11 threshold (red and orange dots). The correlation coefficient between WM-SUVRCGM and SUVRWC when including amyloid-positive patients was r=0.55. Figure 6. Example images for the different levels of processing for some of the simulated images. Each row shows the original image (left), smoothed image (center-left), atlas used for the PVC (center). RBV-corrected image (center-right) and iY-corrected image (right), for each of the cases. Figure 7. Comparison of ground truth and measured SUVRCGM values for RBV (blue lines). Table S1. Measured PF for each of the scanners present in the ADNI database (measured by the ADNI) and smoothing applied to each of the scanners to obtain an isotropic 8-mm resolution (as proposed by the ADNI). Table 2. Quantification results for all the analyzed patients, including the ADNI label for the patient (Patient), the quantified Cortex average (Cortex AVG), cerebellum grey matter average (CGM AVG), whole cerebellum average (WC AVG), white matter average (WM AVG), SUVRCWM, SUVRWC and the PET scanner.