4. PET imaging of Glucose Metabolism: data access, pre-processing, and quantification using SPM and MATLAB

COEX 

In this session, I will showcase the procedures for processing and quantifying Fluorodeoxyglucose Positron Emission Tomography ([18F]FDG-PET) data. To begin with, I'll elaborate on the considerations and quality controls essential when obtaining data from open-access repositories. Following that, we'll use the data from a single subject to demonstrate the steps involved in quality control, registration, spatial normalization, and aspects related to global signal normalization. These tasks will be executed using both GUI and scripts in statistical parametric mapping (SPM) within the MATLAB environment. Later on, I will explore the application of a multi-subject dataset to elucidate the computation of simple connectivity measures using both the seed-based correlation approach and the regions of interest approach.