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Figure 3.3: Visualization of the tensor data is shown as 3D glyphs corresponding the magnitude and direction of the diffusion at each voxel.
Figure 3.3: Visualization of the tensor data is shown as 3D glyphs corresponding the magnitude and direction of the diffusion at each voxel.
Figure 1: Gadolinium contrast enhanced T1-weighted MR image (sagittal view) and the manual tumor segmentation result. Note the “striping” effect caused by segmenting the tumor slice-byslice in axial direction (Tumor031 data).
Figure 1: Gadolinium contrast enhanced T1-weighted MR image (sagittal view) and the manual tumor segmentation result. Note the “striping” effect caused by segmenting the tumor slice-byslice in axial direction (Tumor031 data).
Figure 2: The tip of the laparoscopic ultrasound probe is tracked using a 5mm electromagnetic tracking sensor.
Figure 2: The tip of the laparoscopic ultrasound probe is tracked using a 5mm electromagnetic tracking sensor.
Figure 2: Four sample slices of registered correlation maps. (a) and (b): maps calculated between a rest-case dataset and a high-frequency component; (c) and (d) maps calculated between a non-rest-case dataset and a high-frequency component. The set of higher correlation values (in white) outline potential cardiac signal sources in the brain.
Figure 2: Four sample slices of registered correlation maps. (a) and (b): maps calculated between a rest-case dataset and a high-frequency component; (c) and (d) maps calculated between a non-rest-case dataset and a high-frequency component. The set of higher correlation values (in white) outline potential cardiac signal sources in the brain.
Figure 5: Interpolation results. (a) Original slices: a thyroid (top), a hepatic vein of a pig (bottom). Details for the thyroid case (b) and pig hepatic vein (c). From top to bottom, left to right: original, missing data, NN, DW, TgLinear and NC.
Figure 5: Interpolation results. (a) Original slices: a thyroid (top), a hepatic vein of a pig (bottom). Details for the thyroid case (b) and pig hepatic vein (c). From top to bottom, left to right: original, missing data, NN, DW, TgLinear and NC.
Figure 1: Two- and 3-dimensional images of paralimbic regions of interest based on magnetic resonance imaging data from a control subject. The gray matter of the anterior insular cortex is colored blue on subject left and orange on subject right. The gray matter of the posterior insular cortex is colored light blue on subject left and yellow on subject right. The gray matter of the temporal pole is colored purple on subject left and green on subject right. The white matter of the bilateral temporal pole is colored ivory. A, B, and C, Delineation of the paralimbic regions of interest on coronal slices: A shows the rostal part of the anterior insular cortex adjacent to the orbital cortex and the temporal pole; B, the caudal portion of the anterior insular cortex; and C, the middle portion of the posterior insular cortex. D, Sagittal view of the insular cortex and the temporal pole in the left hemisphere. The coronal lines A, B, and C correspond to the planes of panels A, B, and C, respectively. E and F, Three-dimensional reconstruction of insular cortex (E) and temporal pole (F) gray matter superimposed on the axial plane.
Figure 1: Two- and 3-dimensional images of paralimbic regions of interest based on magnetic resonance imaging data from a control subject. The gray matter of the anterior insular cortex is colored blue on subject left and orange on subject right. The gray matter of the posterior insular cortex is colored light blue on subject left and yellow on subject right. The gray matter of the temporal pole is colored purple on subject left and green on subject right. The white matter of the bilateral temporal pole is colored ivory. A, B, and C, Delineation of the paralimbic regions of interest on coronal slices: A shows the rostal part of the anterior insular cortex adjacent to the orbital cortex and the temporal pole; B, the caudal portion of the anterior insular cortex; and C, the middle portion of the posterior insular cortex. D, Sagittal view of the insular cortex and the temporal pole in the left hemisphere. The coronal lines A, B, and C correspond to the planes of panels A, B, and C, respectively. E and F, Three-dimensional reconstruction of insular cortex (E) and temporal pole (F) gray matter superimposed on the axial plane.
Figure 2: (case 2). Right temporal ganglioglioma A: motor fMRI; B) 3D-SPGR; C: motor fMRI (red) fused with DT-tractography (yellow) (see text).
Figure 2: (case 2). Right temporal ganglioglioma A: motor fMRI; B) 3D-SPGR; C: motor fMRI (red) fused with DT-tractography (yellow) (see text).
Figure 1: Anatomical location of left and right hippocampal structures (left), 3-D rendering of the structures (middle) and the M-rep shape representation model used in this analysis (right).
Figure 1: Anatomical location of left and right hippocampal structures (left), 3-D rendering of the structures (middle) and the M-rep shape representation model used in this analysis (right).
Figure 3: Holographic stereogram study of radiation dosimetry for treatment of a brain tumor.
Figure 3: Holographic stereogram study of radiation dosimetry for treatment of a brain tumor.
Figure 4: Spatial intensity variations are addressed by a bias-field correction step within the tissue segmentation algorithm (based on an iterative expectation-maximization EM principle). Shown are example slices and the corresponding bias field. Intrascan intensity corrections of 7.6% 1.3% were observed on average (see Fig. 10).
Figure 4: Spatial intensity variations are addressed by a bias-field correction step within the tissue segmentation algorithm (based on an iterative expectation-maximization EM principle). Shown are example slices and the corresponding bias field. Intrascan intensity corrections of 7.6% 1.3% were observed on average (see Fig. 10).
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