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

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Figure 3: Constructed robot attached with the intraoperative MR scanner (left) and the profile of the workspace (right). The moving part clears the workspace for the surgeon.
Figure 3: Constructed robot attached with the intraoperative MR scanner (left) and the profile of the workspace (right). The moving part clears the workspace for the surgeon.
Figure 2: The cutting tool can have any shape, has finite thickness, and caps the cut objects.
Figure 2: The cutting tool can have any shape, has finite thickness, and caps the cut objects.
Figure 4: a) Sagittal, axial and coronal planes (top) together with an arbitrarily oriented plane (bottom). Volume data are properly interpolated to get this representation. b) Graphical model with the intersected plane.
Figure 4: a) Sagittal, axial and coronal planes (top) together with an arbitrarily oriented plane (bottom). Volume data are properly interpolated to get this representation. b) Graphical model with the intersected plane.
Figure 4: 3D surface renderings of active surfaces(a) brain surface, b)lateral ventricles) with color coded intensity of deformation field.
Figure 4: 3D surface renderings of active surfaces(a) brain surface, b)lateral ventricles) with color coded intensity of deformation field.
Figure 3: The virtual cryo-probes, simulating the the needles and the frozen tissue (shown in red), can be set into spatial correspondence to the patient's segmented anatomy and the corresponding intensity scans.
Figure 3: The virtual cryo-probes, simulating the the needles and the frozen tissue (shown in red), can be set into spatial correspondence to the patient's segmented anatomy and the corresponding intensity scans.
Figure 2: Different views (patient no. 5) for visual verification of the corticospinal tract projection.
Figure 2: Different views (patient no. 5) for visual verification of the corticospinal tract projection.
Figure 2: Displacements fields (b) real (c) blue: estimated, red: Kriging interpolated
Figure 2: Displacements fields (b) real (c) blue: estimated, red: Kriging interpolated
Figure 2: Visualizations of intraoperative segmentation of brain tissue from six neurosurgery cases. Less than five minutes of user interaction was required for each segmentation.
Figure 2: Visualizations of intraoperative segmentation of brain tissue from six neurosurgery cases. Less than five minutes of user interaction was required for each segmentation.
Figure 16: Super-z Volume Renderings of MR Knee data. Figs. (a)-(d) are all segmented volumetric models. In (d), where objects overlap the following color coding is used: red, green, blue, yellow, cyan, magenta, for overlaps of 1, 2, 3, 4, 5 and 6; and white for overlaps of greater than 6. Figs. (e) and (f), a surface rendered sphere is introduced showing correct interpenetration with bones. In (f) the sphere is show as a wireframe revealing triangle facets.
Figure 16: Super-z Volume Renderings of MR Knee data. Figs. (a)-(d) are all segmented volumetric models. In (d), where objects overlap the following color coding is used: red, green, blue, yellow, cyan, magenta, for overlaps of 1, 2, 3, 4, 5 and 6; and white for overlaps of greater than 6. Figs. (e) and (f), a surface rendered sphere is introduced showing correct interpenetration with bones. In (f) the sphere is show as a wireframe revealing triangle facets.
Figure 1: The 64-channel electrode montage used in this study is shown here projected onto a three-dimensional scalp-reconstruction (from structural MRI data).
Figure 1: The 64-channel electrode montage used in this study is shown here projected onto a three-dimensional scalp-reconstruction (from structural MRI data).
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