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Figure 12: Prostate data: problems in the surface estimation: estimated intra-op surfaces (in red) rendered along with the ground truth intra-op surfaces (in blue) and pre-op surfaces (in green). (For interpretation of the references to color in this figure legend, the reader is referred to the web version of the article.)
Figure 12: Prostate data: problems in the surface estimation: estimated intra-op surfaces (in red) rendered along with the ground truth intra-op surfaces (in blue) and pre-op surfaces (in green). (For interpretation of the references to color in this figure legend, the reader is referred to the web version of the article.)
Figure 3: Fast spin echo (FSE) T2-weighted images (105 ms TE), axon density (AD), and axon area-fraction (AAF) maps for four slices of the spinal cord specimen. Bottom of images corresponds to dorsal. Posterior funiculus regions selected in Slices 1 and 2 and anterior funiculus regions selected in Slices 1 and 4, for comparison with manual axon count, are indicated with rectangles on the AD maps. AD and AAF maps are interpolated for better visualization and scaled to have equal intensity range as identified by the color bar at the bottom of each column of maps.
Figure 3: Fast spin echo (FSE) T2-weighted images (105 ms TE), axon density (AD), and axon area-fraction (AAF) maps for four slices of the spinal cord specimen. Bottom of images corresponds to dorsal. Posterior funiculus regions selected in Slices 1 and 2 and anterior funiculus regions selected in Slices 1 and 4, for comparison with manual axon count, are indicated with rectangles on the AD maps. AD and AAF maps are interpolated for better visualization and scaled to have equal intensity range as identified by the color bar at the bottom of each column of maps.
Figure 3: Editor interface of virtual fixture on 3D Slicer.
Figure 3: Editor interface of virtual fixture on 3D Slicer.
Figure 3: Spatially varying fat-water separation by 2DRF is demonstrated in balanced steady-state free precession phantom images at 3 T (TE = 3 ms, TR = 6 ms, flip angle = 45 <sup>o</sup> , FOV = 20 cm, matrix size = 128 x 128, slice thickness = 8 mm). a: A reference image produced by the product sequence using a one-dimensional SINC pulse. b: The spatial shift of excitation patterns in vegetable oil from water can readily be observed with FOE = 0.25 FOV; (c) the spatially varying fat-water excitation with the shift factor R<sub>shift</sub> = 0, (d) the excitation with R<sub>shift</sub> = 0.25, (e) the excitation with R<sub>shift</sub> = 0.5, and (f) the excitation with R<sub>shift</sub> = 0.75 are shown. c-f: Produced using a 5 Â 560-micros 2DRF pulse and FOE = 2FOV, corresponding to the scenarios described with FOV<sub>1</sub> to FOV<sub>4</sub> in Fig. 2d.
Figure 3: Spatially varying fat-water separation by 2DRF is demonstrated in balanced steady-state free precession phantom images at 3 T (TE = 3 ms, TR = 6 ms, flip angle = 45 o , FOV = 20 cm, matrix size = 128 x 128, slice thickness = 8 mm). a: A reference image produced by the product sequence using a one-dimensional SINC pulse. b: The spatial shift of excitation patterns in vegetable oil from water can readily be observed with FOE = 0.25 FOV; (c) the spatially varying fat-water excitation with the shift factor Rshift = 0, (d) the excitation with Rshift = 0.25, (e) the excitation with Rshift = 0.5, and (f) the excitation with Rshift = 0.75 are shown. c-f: Produced using a 5 Â 560-micros 2DRF pulse and FOE = 2FOV, corresponding to the scenarios described with FOV1 to FOV4 in Fig. 2d.
Figure 3: Functional MRI activation maps of subject 8 (threshold at p < 10<sup>-4</sup>, uncorrected). Top left panel: antonym-generation. Top right panel: noun-categorization. Lower left panel: singing versus rest. Lower right panel: piano music versus pure tones. Green arrows outline the dominant activation in pSTG for the various contrasts.
Figure 3: Functional MRI activation maps of subject 8 (threshold at p < 10-4, uncorrected). Top left panel: antonym-generation. Top right panel: noun-categorization. Lower left panel: singing versus rest. Lower right panel: piano music versus pure tones. Green arrows outline the dominant activation in pSTG for the various contrasts.
Figure 2: Summed statistic image. At each voxel, the number of patients presenting with tumors is calculated. A, High-grade tumors. B, Low-grade tumors.
Figure 2: Summed statistic image. At each voxel, the number of patients presenting with tumors is calculated. A, High-grade tumors. B, Low-grade tumors.
Figure 8: Sagittal slices through the right hemisphere, with the ROIs overlaid on an FA map. The results reported in Fig. 9(a,b) pertain to the anterior corona radiata ROI, shown in light green in (a). Those presented in Fig. 9(c,d) pertain to a segmentation of the uncinate, which combines the light and dark green ROIs in (b). Note the ROIs are 3D volumes, only a slice through which is visible here.
Figure 8: Sagittal slices through the right hemisphere, with the ROIs overlaid on an FA map. The results reported in Fig. 9(a,b) pertain to the anterior corona radiata ROI, shown in light green in (a). Those presented in Fig. 9(c,d) pertain to a segmentation of the uncinate, which combines the light and dark green ROIs in (b). Note the ROIs are 3D volumes, only a slice through which is visible here.
Figure 2: This figure shows corresponding pre- and intra-operative slices of one of the synthetically generated datasets. From left to right we have the “pre-operative” image, the “intra-operative” image, and an axial and coronal slice of the difference image.
Figure 2: This figure shows corresponding pre- and intra-operative slices of one of the synthetically generated datasets. From left to right we have the “pre-operative” image, the “intra-operative” image, and an axial and coronal slice of the difference image.
Figure 2: Measured hydrophone rms voltage in the x–z plane in an ex-vivo human cranium, when the transducer was excited by the signal with (a) single frequency, (b) swept frequency, and (c) random-signal modulation in linear scale.
Figure 2: Measured hydrophone rms voltage in the x–z plane in an ex-vivo human cranium, when the transducer was excited by the signal with (a) single frequency, (b) swept frequency, and (c) random-signal modulation in linear scale.
Figure 5: The 3D Slicer visualizes the physical relationship among the model of Z-frame, the 2D image intersecting the Z-frame, and the slice of the preoperative 3D image after the Z-frame registration. This helps the users to confirm that the Z-frame registration is performed correctly.
Figure 5: The 3D Slicer visualizes the physical relationship among the model of Z-frame, the 2D image intersecting the Z-frame, and the slice of the preoperative 3D image after the Z-frame registration. This helps the users to confirm that the Z-frame registration is performed correctly.
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