Spline Based Inhomogeneity Correction for 11C-PIB PET Segmentation Using Expectation Maximization

Abstract

With the advent of biomarkers such as 11C-PIB and the increase in use of PET, automated methods are required for processing and analyzing datasets from research studies and in clinical settings. A common preprocessing step is the calculation of standardized uptake value ratio (SUVR) for inter-subject normalization. This requires segmented grey matter (GM… (More)
DOI: 10.1007/978-3-540-75757-3_28

5 Figures and Tables

Topics

  • Presentations referencing similar topics