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

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Figure 2: The 3D model with the position of the grid and the strip electrodes after the first surgery. The lesion shown in green, the ventricles in blue and the vessels in red. The functional areas are outlined by colored circles.
Figure 2: The 3D model with the position of the grid and the strip electrodes after the first surgery. The lesion shown in green, the ventricles in blue and the vessels in red. The functional areas are outlined by colored circles.
Figure 2: Preoperative visualization and intraoperative MR imaging, surface rendering of preoperative data.
Figure 2: Preoperative visualization and intraoperative MR imaging, surface rendering of preoperative data.
Figure 1: Frontal view of the surface models of both hips in neutral position. The left hip is affected by SCFE. The left femoral head (LFH) is displaced posterior and slightly inferior. The right femoral head (RFH) shows a normal geometry.
Figure 1: Frontal view of the surface models of both hips in neutral position. The left hip is affected by SCFE. The left femoral head (LFH) is displaced posterior and slightly inferior. The right femoral head (RFH) shows a normal geometry.
Figure 1: [Left] Bur hole approximately 100 mm in diameter was made to expose the brain of a pig (male, 48.5 kg, 100 days old). [Right] A specially developed acrylic frame with a clay weight was fixed to the MRI head coil, which also rigidly holds the pig's head.
Figure 1: [Left] Bur hole approximately 100 mm in diameter was made to expose the brain of a pig (male, 48.5 kg, 100 days old). [Right] A specially developed acrylic frame with a clay weight was fixed to the MRI head coil, which also rigidly holds the pig's head.
Figure 3: Left: Manually segmented femur. Right: Fully automatic segmented femur using adaptive filtering to enhance local structure followed by thresholding and connected component labeling. The voxel overlap between the manually segmented and the automatic segmentation result is 98 %.
Figure 3: Left: Manually segmented femur. Right: Fully automatic segmented femur using adaptive filtering to enhance local structure followed by thresholding and connected component labeling. The voxel overlap between the manually segmented and the automatic segmentation result is 98 %.
Figure 2: MRI of baby brain, k-NN classification and ATM SVC segmentation. Cortical grey matter is shown in light grey, and subcortical grey matter is shown as white.
Figure 2: MRI of baby brain, k-NN classification and ATM SVC segmentation. Cortical grey matter is shown in light grey, and subcortical grey matter is shown as white.
Figure 1: Regions of Interest Examined in MRI Study of Patients With First-Episode Schizophrenia or Affective Psychosis and Normal Comparison Subjects
Figure 1: Regions of Interest Examined in MRI Study of Patients With First-Episode Schizophrenia or Affective Psychosis and Normal Comparison Subjects
Figure 1: An example of AnatomyBrowser for a brain data set. The cross-hair positions correspond to the same 3D point. Some of the structures are annotated on the 3D display. The sagittal slice is slightly zoomed in.
Figure 1: An example of AnatomyBrowser for a brain data set. The cross-hair positions correspond to the same 3D point. Some of the structures are annotated on the 3D display. The sagittal slice is slightly zoomed in.
Figure 5: Intrapatient registration of high resolution MR time series data. a. Before Registration, b. After Registration
Figure 5: Intrapatient registration of high resolution MR time series data. a. Before Registration, b. After Registration
Figure 1: Left: Standard MAP classifier, EMSeg, EMSeg+MF, Middle: EM Weights, Right: EM+MF
Figure 1: Left: Standard MAP classifier, EMSeg, EMSeg+MF, Middle: EM Weights, Right: EM+MF
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