Surgical Planning Laboratory - Brigham & Women's Hospital - Boston, Massachusetts USA - a teaching affiliate of Harvard Medical School

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Figure 6: Seven superposed composite models.
Figure 6: Seven superposed composite models.
Figure: New Expectation Maximization Segmentation Pipeline in Slicer3. We redesigned the user interface of the EMSegment module in Slicer3 and developed a new module called MRIBiasFieldCorrection. Experiments with the SPL Brain Atlas showed improved segmentation accuracy.
Figure: New Expectation Maximization Segmentation Pipeline in Slicer3. We redesigned the user interface of the EMSegment module in Slicer3 and developed a new module called MRIBiasFieldCorrection. Experiments with the SPL Brain Atlas showed improved segmentation accuracy.
Figure 1: Magnified view of the septal wall with the VIBGYOR color map representing the Global Isotropy Index (GII) at various locations. Red represents points with low GII while blue represents points with high GII.
Figure 1: Magnified view of the septal wall with the VIBGYOR color map representing the Global Isotropy Index (GII) at various locations. Red represents points with low GII while blue represents points with high GII.
Figure 2: (a) Pre-procedure contrast enhanced MR image, (b) CT image for interventional planning, (c) registered and fused image showing liver from MR image overlaid on CT image, (d) CT image showing ablation probes overlaid with segmented tumor from the registered MR image, (e) CT image showing iceball (hypointense area around lesion) overlaid with segmented lesion (green) from registered MR image, and (f) 3D representation of liver (red), tumor (green), iceball (blue) and cryoprobes to evaluate tumor coverage and margins.
Figure 2: (a) Pre-procedure contrast enhanced MR image, (b) CT image for interventional planning, (c) registered and fused image showing liver from MR image overlaid on CT image, (d) CT image showing ablation probes overlaid with segmented tumor from the registered MR image, (e) CT image showing iceball (hypointense area around lesion) overlaid with segmented lesion (green) from registered MR image, and (f) 3D representation of liver (red), tumor (green), iceball (blue) and cryoprobes to evaluate tumor coverage and margins.
Figure 4: A color map of the right medial caudate ranging from green (0 mm difference) to red (1.5 mm difference) with a superimposed vectormap showing the direction (and magnitude) of the mean group displacement differences “on the surface meshes” between female SPD and control subjects. Vectors pointing outward indicate that the normal surface is inflated with respect to the SPD surface at that point. Overall, it can be seen that the mean shapes of the 2 groups are similar with an overall maximum difference of approximately 1.5 mm at any surface point. In Fig. 4a, we also show a zoomed view of 2 main anterior caudate regions showing large group mm displacement differences indicating surface deflation in SPD females in the right medial caudate. Fig. 4b shows the covariance map represented by covariance ellipsoids of the same right medial caudate surface for SPD compared with NCL subjects from green (0 mm2) to red (3 mm2); the larger the covariance ellipsoid, the greater the degree of covariance. Intuitively, one can appreciate that the 2 zoomed regions in Fig. 4a are significantly different (which the FDR corrected statistics indicated) as they represent areas both with large magnitude mm displacement differences (a more reddish hue) and relatively small covariance ellipsoids.
Figure 4: A color map of the right medial caudate ranging from green (0 mm difference) to red (1.5 mm difference) with a superimposed vectormap showing the direction (and magnitude) of the mean group displacement differences “on the surface meshes” between female SPD and control subjects. Vectors pointing outward indicate that the normal surface is inflated with respect to the SPD surface at that point. Overall, it can be seen that the mean shapes of the 2 groups are similar with an overall maximum difference of approximately 1.5 mm at any surface point. In Fig. 4a, we also show a zoomed view of 2 main anterior caudate regions showing large group mm displacement differences indicating surface deflation in SPD females in the right medial caudate. Fig. 4b shows the covariance map represented by covariance ellipsoids of the same right medial caudate surface for SPD compared with NCL subjects from green (0 mm2) to red (3 mm2); the larger the covariance ellipsoid, the greater the degree of covariance. Intuitively, one can appreciate that the 2 zoomed regions in Fig. 4a are significantly different (which the FDR corrected statistics indicated) as they represent areas both with large magnitude mm displacement differences (a more reddish hue) and relatively small covariance ellipsoids.
Figure: Vessels of an arm segmented using the created modules.
Figure: Vessels of an arm segmented using the created modules.
Figure: These data were acquired on a Siemens 3T scanner, using a multi-array head coil, in a healthy, 42 year old male.
Figure: These data were acquired on a Siemens 3T scanner, using a multi-array head coil, in a healthy, 42 year old male.
Figure 1: <b>Image atlas of the brain.</b> Image atlases represent spatial information by providing a parcellation of the anatomic structures contained in the brain (left). Each structure is represented as a spatial region of uniform color. Other anatomic knowledge about the structure, such as functional information, is not represented. Image atlases are generally used to infer the anatomic localization of brain structures in individual subjects by registering their images to the atlas. For example, the anatomic identity of areas of activity in fMRI are identified in this manner (right).
Figure 1: Image atlas of the brain. Image atlases represent spatial information by providing a parcellation of the anatomic structures contained in the brain (left). Each structure is represented as a spatial region of uniform color. Other anatomic knowledge about the structure, such as functional information, is not represented. Image atlases are generally used to infer the anatomic localization of brain structures in individual subjects by registering their images to the atlas. For example, the anatomic identity of areas of activity in fMRI are identified in this manner (right).
Figure 6: a. The somal region of the spiny neuron in Figure 5b is enlarged, the neuroWlament-distribution (blue) within the soma is inhomogeneous. b. The spiny neuron from Figure 5k is enlarged and seen in abluminal view, and the position of the nucleus is seen as a trough.
Figure 6: a. The somal region of the spiny neuron in Figure 5b is enlarged, the neuroWlament-distribution (blue) within the soma is inhomogeneous. b. The spiny neuron from Figure 5k is enlarged and seen in abluminal view, and the position of the nucleus is seen as a trough.
Figure 2: Figure demonstrating application of “sensitivity” tool to extract fibers of interest. Tool was able to exclude anatomically incorrect fibers (left panel before, right after tool application).
Figure 2: Figure demonstrating application of “sensitivity” tool to extract fibers of interest. Tool was able to exclude anatomically incorrect fibers (left panel before, right after tool application).
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