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PAGE 48 of 57
Figure 1: Solution to Poisson’s equation for two different shapes.
Figure 1: Solution to Poisson’s equation for two different shapes.
Figure 4: The first row shows a sample slice of the quadratic spline interpolation of a longitudinal schizophrenia study. Each image represents an SCP of the gray matter at a specific point in time of the study. Bright indicates high and dark low probability of the gray matter. The second row shows the SCP of the thalamus (a) with black indicating the voxels that are interpolated over three time point in (b)+(c) and two time points in (d)+(e). Graph (b)+(d) were produce by convex interpolation, while the smoother quadratic spline interpolation is representation (c)+(e).
Figure 4: The first row shows a sample slice of the quadratic spline interpolation of a longitudinal schizophrenia study. Each image represents an SCP of the gray matter at a specific point in time of the study. Bright indicates high and dark low probability of the gray matter. The second row shows the SCP of the thalamus (a) with black indicating the voxels that are interpolated over three time point in (b)+(c) and two time points in (d)+(e). Graph (b)+(d) were produce by convex interpolation, while the smoother quadratic spline interpolation is representation (c)+(e).
Figure 2: Left: 3D rendering of expert segmentation of both hemispheres from one subject. Right: The same subject segmented by spectral clustering with k = 12.
Figure 2: Left: 3D rendering of expert segmentation of both hemispheres from one subject. Right: The same subject segmented by spectral clustering with k = 12.
Figure 5: Three different views of the paths derived from histological slices (a, b, c), the corresponding fiber tracts derived from DTI (d, e, f), and both results displayed together (g, h, i).
Figure 5: Three different views of the paths derived from histological slices (a, b, c), the corresponding fiber tracts derived from DTI (d, e, f), and both results displayed together (g, h, i).
Figure: Right medial temporal (A) and distributed cortical (B-E) regions showing reduced gray matter density.
Figure: Right medial temporal (A) and distributed cortical (B-E) regions showing reduced gray matter density.
Figure 5: Axial, coronal, sagittal and 3D views of the nine extracted fiber tracts on a single dataset. Yellow: tract BCC, red: genu, cyan: splenium, dark yellow and orange: tracts LIC and RIC, dark cyan and green: LUF and RUF, dark blue and blue: LCG and RCG.
Figure 5: Axial, coronal, sagittal and 3D views of the nine extracted fiber tracts on a single dataset. Yellow: tract BCC, red: genu, cyan: splenium, dark yellow and orange: tracts LIC and RIC, dark cyan and green: LUF and RUF, dark blue and blue: LCG and RCG.
Figure 2: Atlases from two modes (left, right) identified using a bandwidth of 30 neighbors and the difference between these two atlases (center)
Figure 2: Atlases from two modes (left, right) identified using a bandwidth of 30 neighbors and the difference between these two atlases (center)
Figure 5: Real Data Filtering Results
Figure 5: Real Data Filtering Results
Figure 3: An axial slice from I1 (a); same slice from transformed I2 (b); and transformed I2 with angular interpolation (c). The images have same diffusion weighting gradient w.r.t. the scanner.
Figure 3: An axial slice from I1 (a); same slice from transformed I2 (b); and transformed I2 with angular interpolation (c). The images have same diffusion weighting gradient w.r.t. the scanner.
Figure 5: Fibers traced in the corpus callosum of the atlas (a) are mapped to corresponding locations in the subject images (b) (c) despite pose and shape changes.
Figure 5: Fibers traced in the corpus callosum of the atlas (a) are mapped to corresponding locations in the subject images (b) (c) despite pose and shape changes.
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