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Figure 1: 3D reconstruction of all three fiber bundles.
Figure 1: 3D reconstruction of all three fiber bundles.
Figure 2: The topology and geometry of curve comparison. (a) Solution domain decomposition. (b) Distance from estimate to measurement. (c) Distance from measurement to estimate.
Figure 2: The topology and geometry of curve comparison. (a) Solution domain decomposition. (b) Distance from estimate to measurement. (c) Distance from measurement to estimate.
Figure 5: (First row) Original images of the T-72 target; (second row) reconstruction by the uniform soft-thresholding; (third row) reconstruction by the “static” Bayesian shrinkage; (fourth row) reconstruction by the DDN method.
Figure 5: (First row) Original images of the T-72 target; (second row) reconstruction by the uniform soft-thresholding; (third row) reconstruction by the “static” Bayesian shrinkage; (fourth row) reconstruction by the DDN method.
Figure 6: Df(Tr) on Trace isosurface (approx. edema surface), with tracts (right)
Figure 6: Df(Tr) on Trace isosurface (approx. edema surface), with tracts (right)
Figure 4: Spatial maps of GLM result on the same subject’s data (posterior probability thresholded at p > 0.5).
Figure 4: Spatial maps of GLM result on the same subject’s data (posterior probability thresholded at p > 0.5).
ICBM-81 DTI T2 Probabilistic Atlas Subject T2 Baseline scan Subject FA map
ICBM-81 DTI T2 Probabilistic Atlas Subject T2 Baseline scan Subject FA map
Figure 5: Schematic description of the discrete blobs model representing the case of a dilute PS buoy layer that is only marginally above the pancake-brush transition. The first adsorption layer is made of a melt of A monomers (PMMA). The second layer is made the B blocks (PS) that are arranged in two shells of bubbles. The diameter of a typical bubble, D, is of the same order as the typical distance between the B blocks.
Figure 5: Schematic description of the discrete blobs model representing the case of a dilute PS buoy layer that is only marginally above the pancake-brush transition. The first adsorption layer is made of a melt of A monomers (PMMA). The second layer is made the B blocks (PS) that are arranged in two shells of bubbles. The diameter of a typical bubble, D, is of the same order as the typical distance between the B blocks.
Figure 1: Left panel shows the search, traversal and comparison of tools (in this case image alignment and visualization) based on their data input/output specifications. The right panel illustrates how streaming data through independent tools (via an external graphical workflow environment, e.g., LONI Pipeline) may be facilitated by the types of data I/O parameters stored as iTools resource-specific meta-data.
Figure 1: Left panel shows the search, traversal and comparison of tools (in this case image alignment and visualization) based on their data input/output specifications. The right panel illustrates how streaming data through independent tools (via an external graphical workflow environment, e.g., LONI Pipeline) may be facilitated by the types of data I/O parameters stored as iTools resource-specific meta-data.
Figure 3: The figure shows sample slices with the corresponding growth detection. Striped regions indicate manually detected growth, while checkerbox is the result of our semi-automatic metric based on the analysis of the intensity pattern (INTENSITY) and based on analyzing the deformation map between two consecutive scans (SEGMENT). We note, that some of the “displaced” manually detected growth is due to alignment issues between scans. We observe that the evolution of the tumor is very small, which our approach successfully captures.
Figure 3: The figure shows sample slices with the corresponding growth detection. Striped regions indicate manually detected growth, while checkerbox is the result of our semi-automatic metric based on the analysis of the intensity pattern (INTENSITY) and based on analyzing the deformation map between two consecutive scans (SEGMENT). We note, that some of the “displaced” manually detected growth is due to alignment issues between scans. We observe that the evolution of the tumor is very small, which our approach successfully captures.
Figure 2: Visualization of some of ROIs outlined by the atlas. These ROIs correspond to the major anatomical fiber tracts.
Figure 2: Visualization of some of ROIs outlined by the atlas. These ROIs correspond to the major anatomical fiber tracts.
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