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FIG. 5. Reconstructions of 3.56× accelerated data using (a) LSQR-Hybrid with self-referenced coil sensitivity maps from 6 ACS lines, (b) LSQR-Hybrid with GEYSER using 52 (28 measured + 24 GRAPPA estimated) auto-calibration lines to estimate coil sensitivity, and (c) a single pass GRAPPA reconstruction. The acquired data for all images is identical. The improved quality visible in (b) compared to (a) is attributed to the use of GRAPPA to improve the coil sensitivity estimates. The measured standard deviation in the boxes is (b) LSQR-Hybrid: 0.0094 and (c) GRAPPA: 0.0286.
FIG. 5. Reconstructions of 3.56× accelerated data using (a) LSQR-Hybrid with self-referenced coil sensitivity maps from 6 ACS lines, (b) LSQR-Hybrid with GEYSER using 52 (28 measured + 24 GRAPPA estimated) auto-calibration lines to estimate coil sensitivity, and (c) a single pass GRAPPA reconstruction. The acquired data for all images is identical. The improved quality visible in (b) compared to (a) is attributed to the use of GRAPPA to improve the coil sensitivity estimates. The measured standard deviation in the boxes is (b) LSQR-Hybrid: 0.0094 and (c) GRAPPA: 0.0286.
Figure 9: In vivo multiphoton imaging of the mouse brain vasculature during FUS-induced BBB disruption. The animal received 0.1 ml (2 mg/ml) 10 kDa, dextran-conjugated Alexa Fluor 488 intravenously $5 min before imaging (green in images). Immediately after the t = 0 frame was taken, a 45-s US exposure was initiated and a 0.1 ml bolus (10 mg/ml) of 70 kDa, dextran-conjugated Texas Red was delivered intravenously (red in images). Almost total occlusion of the large vessel in the center of the field occurred 12 s after the initiation of ultrasound exposure (arrow). Beginning at 60 s and by 305 s, leakage in the green channel is apparent in the lower left of the field, and around the central vessel (a = arterioles; v = veins; scale bar is 100 lm). Reproduced with permission from [204].
Figure 9: In vivo multiphoton imaging of the mouse brain vasculature during FUS-induced BBB disruption. The animal received 0.1 ml (2 mg/ml) 10 kDa, dextran-conjugated Alexa Fluor 488 intravenously $5 min before imaging (green in images). Immediately after the t = 0 frame was taken, a 45-s US exposure was initiated and a 0.1 ml bolus (10 mg/ml) of 70 kDa, dextran-conjugated Texas Red was delivered intravenously (red in images). Almost total occlusion of the large vessel in the center of the field occurred 12 s after the initiation of ultrasound exposure (arrow). Beginning at 60 s and by 305 s, leakage in the green channel is apparent in the lower left of the field, and around the central vessel (a = arterioles; v = veins; scale bar is 100 lm). Reproduced with permission from [204].
Figure 1: Image of a representative reconstructed histology dataset with the gray/white surface overlaid in yellow. Top: coronal, middle: sagittal, bottom: axial. The green crosses represent the locations of the manually selected control points in the body of the white matter for these slices. The red cross represents the point in common for the 3 views.
Figure 1: Image of a representative reconstructed histology dataset with the gray/white surface overlaid in yellow. Top: coronal, middle: sagittal, bottom: axial. The green crosses represent the locations of the manually selected control points in the body of the white matter for these slices. The red cross represents the point in common for the 3 views.
Figure 1: 3D reconstruction of all three fiber bundles.
Figure 1: 3D reconstruction of all three fiber bundles.
Figure 4: Composite image showing information from several sequential MRI scans of a patient with MS.
Figure 4: Composite image showing information from several sequential MRI scans of a patient with MS.
Figure 2: The topology and geometry of curve comparison. (a) Solution domain decomposition. (b) Distance from estimate to measurement. (c) Distance from measurement to estimate.
Figure 2: The topology and geometry of curve comparison. (a) Solution domain decomposition. (b) Distance from estimate to measurement. (c) Distance from measurement to estimate.
Figure 5: (First row) Original images of the T-72 target; (second row) reconstruction by the uniform soft-thresholding; (third row) reconstruction by the “static” Bayesian shrinkage; (fourth row) reconstruction by the DDN method.
Figure 5: (First row) Original images of the T-72 target; (second row) reconstruction by the uniform soft-thresholding; (third row) reconstruction by the “static” Bayesian shrinkage; (fourth row) reconstruction by the DDN method.
Figure 4: Spatial maps of GLM result on the same subject’s data (posterior probability thresholded at p > 0.5).
Figure 4: Spatial maps of GLM result on the same subject’s data (posterior probability thresholded at p > 0.5).
Figure 6: Df(Tr) on Trace isosurface (approx. edema surface), with tracts (right)
Figure 6: Df(Tr) on Trace isosurface (approx. edema surface), with tracts (right)
Figure 1: Left panel shows the search, traversal and comparison of tools (in this case image alignment and visualization) based on their data input/output specifications. The right panel illustrates how streaming data through independent tools (via an external graphical workflow environment, e.g., LONI Pipeline) may be facilitated by the types of data I/O parameters stored as iTools resource-specific meta-data.
Figure 1: Left panel shows the search, traversal and comparison of tools (in this case image alignment and visualization) based on their data input/output specifications. The right panel illustrates how streaming data through independent tools (via an external graphical workflow environment, e.g., LONI Pipeline) may be facilitated by the types of data I/O parameters stored as iTools resource-specific meta-data.
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