Figure 1.
Anatomical regions delineated over the T1 images.
Cerebellar hemispheres (CeH), mesencephalon (Me), vermis (Ve), pons (Po); subcortical white matter (Sc WM), hippocampus (Hc), entorhinal cortex (ECx), temporal cortex (TCx), occipital cortex (OcCx); piriform cortex (PiCx), parietal cortex (PaCx), cingulate cortex (CgCx), fimbria of hippocampus (FH), fornix (Fx), thalamus (Th), hypothalamus (Ht), amygdala (Am); external capsule (EC), internal capsule (IC), claustrum (Cl), lenticular nucleus (LN), caudate nucleus (CN), corona radiata (CR), corpus callosum (CC), septum (Spt), forebrain (Fb), basal forebrain (BF); frontal cortex (Fcx), insular cortex (Icx), anterior commissure (AC); medial frontal cortex (MFCx), periventricular white matter (PvWM).
Figure 2.
3D reconstruction of the brain regions of the rabbit.
From left to right: cortical regions, white matter regions, deep gray matter, other regions. From top to bottom: dorsal view; anterior view; lateral view; ventral view; posterior view; and oblique view.
Figure 3.
Brain regions overlapped over representative slices of the T1-weighted image.
First row: cortical regions; second and third rows: white matter regions; fourth row: deep gray matter and fifth row: other regions.
Table 1.
Brain region characterization.
Figure 4.
Each row corresponds to one subject.
Figure 5.
Representative slices of the average template.
Figure 6.
Representative slices of the probabilistic region maps over the template.
Color intensity represents the probability value.
Figure 7.
Representative slices of the automatic segmentation of a brain volume.
Table 2.
Accuracy of the automatic atlas-based segmentation.
Figure 8.
Comparison between the automatic segmentation and the manual delineation.