Automated Volumetrics and Methodological Pitfalls in Special Patient Populations

The last decade has seen great advances in the analysis of structural MR images. With the introduction of automated methods of tissue classification and spatial normalization, the user-independent processing of large datasets has become feasible. Instead of the error-prone and extremely time-consuming manual delineation of pre-chosen structures of interest, an automated and unbiased exploration of the whole brain dataset is now possible. Recent methodological advances include a more “brain-based“ normalizaton and segmentation scheme or have allowed us to investigate true tissue volume instead of the more abstrac…