Our initial dataset consisted of
transaxial
mid-brain 2D slices, extracted at equivalent levels from a set of
T1-weighted 3D MR scans of normal subjects. The ground-truth data
for this set consists of dense (pixel by pixel) binary tissue
labels for the gray and white matter, the
caudate nucleus tissue classes and CSF within the lateral ventricles. These
labels were further divided into left and right. An example image
and its labelling is shown in Figure 7.
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The training set was non-rigidly registered using a Minimum Description Length (MDL) NRR algorithm [16]. This registration was used as the starting point for the evaluation.