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Figure 6: a. The somal region of the spiny neuron in Figure 5b is enlarged, the neuroWlament-distribution (blue) within the soma is inhomogeneous. b. The spiny neuron from Figure 5k is enlarged and seen in abluminal view, and the position of the nucleus is seen as a trough.
Figure 6: a. The somal region of the spiny neuron in Figure 5b is enlarged, the neuroWlament-distribution (blue) within the soma is inhomogeneous. b. The spiny neuron from Figure 5k is enlarged and seen in abluminal view, and the position of the nucleus is seen as a trough.
Figure 2: Comparison of the ‘dendrogram’ and ‘CLUMPFIND’ featureidentification algorithms as applied to 13CO emission from the L1448 region of Perseus.
Figure 2: Comparison of the ‘dendrogram’ and ‘CLUMPFIND’ featureidentification algorithms as applied to 13CO emission from the L1448 region of Perseus.
Figure: The IGT prostate therapy planning tutorial in progress.
Figure: The IGT prostate therapy planning tutorial in progress.
Figure 6: Phantom experiments. (Left) CT slice view of phantom with foam block; (middle) experimental set-up; (right) machined foam block
Figure 6: Phantom experiments. (Left) CT slice view of phantom with foam block; (middle) experimental set-up; (right) machined foam block
The IGT neurosurgical planning tutorial in progress.
The IGT neurosurgical planning tutorial in progress.
Figure 1: Automated segmentation procedure. Interleaved proton density weighted (pdw) and T2-weighted images (T2w) served as the input for the segmentation pipeline. An intracranial cavity mask (ICC) was created, separating “brain” from “non-brain voxels.” Brain voxels were segmented into gray matter, white matter and CSF classes using the 3D Expectation-Maximization (3D EM) algorithm. An a priori atlas (Atlas) containing 14 regions of interest (ROI’s) segmented from a dual-echo spin-echo (DE SE) data set of a young (7 years old), behaviorally normal monkey (AM093) was created and then elastically matched to the 3D EM results to produce an anatomically based segmentation (TDS) of the gray matter, white matter and CSF voxels. The ROI’s included forebrain white matter, cerebral cortex, caudate nucleus, putamen, globus pallidus, claustrum, thalamus, hypothalamus, brainstem, cerebellum, lateral ventricles, third ventricle, cerebral aqueduct and fourth ventricle.
Figure 1: Automated segmentation procedure. Interleaved proton density weighted (pdw) and T2-weighted images (T2w) served as the input for the segmentation pipeline. An intracranial cavity mask (ICC) was created, separating “brain” from “non-brain voxels.” Brain voxels were segmented into gray matter, white matter and CSF classes using the 3D Expectation-Maximization (3D EM) algorithm. An a priori atlas (Atlas) containing 14 regions of interest (ROI’s) segmented from a dual-echo spin-echo (DE SE) data set of a young (7 years old), behaviorally normal monkey (AM093) was created and then elastically matched to the 3D EM results to produce an anatomically based segmentation (TDS) of the gray matter, white matter and CSF voxels. The ROI’s included forebrain white matter, cerebral cortex, caudate nucleus, putamen, globus pallidus, claustrum, thalamus, hypothalamus, brainstem, cerebellum, lateral ventricles, third ventricle, cerebral aqueduct and fourth ventricle.
Figure 1: (a) T2-weighted axial MR image of a hypo-intense fibroid in a 42-year-old patient before MRguided focused ultrasound surgery. (b) T1-weighted gadolinium-enhanced axial MR image of the same fibroid immediately after treatment. The outlines of treated fibroid and NPV were contoured with electronic calipers to compute the area per section by using volumetric analysis software.
Figure 1: (a) T2-weighted axial MR image of a hypo-intense fibroid in a 42-year-old patient before MRguided focused ultrasound surgery. (b) T1-weighted gadolinium-enhanced axial MR image of the same fibroid immediately after treatment. The outlines of treated fibroid and NPV were contoured with electronic calipers to compute the area per section by using volumetric analysis software.
Figure 2: Template atlas. Rostral to caudal slices in the coronal plane is arranged from top to bottom, left to right. Legend abbreviations: cortical gray matter (CTX), caudate nucleus (CD), putamen (PUT), globus pallidus (GP), claustrum (CL), thalamus (THAL), hypothalamus (HYP), forebrain white matter (FWM), lateral ventricles (LVT), 3rd ventricle (3VT), cerebral aqueduct (CAq), 4th ventricle (4VT), brainstem (BS), cerebellum (CBLM).
Figure 2: Template atlas. Rostral to caudal slices in the coronal plane is arranged from top to bottom, left to right. Legend abbreviations: cortical gray matter (CTX), caudate nucleus (CD), putamen (PUT), globus pallidus (GP), claustrum (CL), thalamus (THAL), hypothalamus (HYP), forebrain white matter (FWM), lateral ventricles (LVT), 3rd ventricle (3VT), cerebral aqueduct (CAq), 4th ventricle (4VT), brainstem (BS), cerebellum (CBLM).
Figure 4: 3D renderings of the probabilistic tracts overlaid on a transparent template brain with the FreeSurfer WM parcellations and whole-brain segmentation. The 11 atlas-based probabilistic tracts from the Mori atlas is shown as 3D renderings, displayed on a semi-transparent template brain from FreeSurfer (fsaverage). The subcortical structures are results from FreeSurfer's whole brain segmentation procedure. The colors on the cortical surface are the cortical parcellations on which the WM parcellations are based (see Figs. 1 and 2). The figure was made by use of <a href=3D slicer software." title="Figure 4: 3D renderings of the probabilistic tracts overlaid on a transparent template brain with the FreeSurfer WM parcellations and whole-brain segmentation. The 11 atlas-based probabilistic tracts from the Mori atlas is shown as 3D renderings, displayed on a semi-transparent template brain from FreeSurfer (fsaverage). The subcortical structures are results from FreeSurfer's whole brain segmentation procedure. The colors on the cortical surface are the cortical parcellations on which the WM parcellations are based (see Figs. 1 and 2). The figure was made by use of 3D slicer software." />
Figure 4: 3D renderings of the probabilistic tracts overlaid on a transparent template brain with the FreeSurfer WM parcellations and whole-brain segmentation. The 11 atlas-based probabilistic tracts from the Mori atlas is shown as 3D renderings, displayed on a semi-transparent template brain from FreeSurfer (fsaverage). The subcortical structures are results from FreeSurfer's whole brain segmentation procedure. The colors on the cortical surface are the cortical parcellations on which the WM parcellations are based (see Figs. 1 and 2). The figure was made by use of 3D slicer software.
Figure 1: (A) A robot for transperineal prostate biopsy and treatment [9]. Pneumatic actuators and optical encoders allow operating the robot inside a closed-bore 3T MRI scanner. Z-shape fiducial frame was attached for a calibration. (B) The diagram shows communication data flow of the proposed software system.
Figure 1: (A) A robot for transperineal prostate biopsy and treatment [9]. Pneumatic actuators and optical encoders allow operating the robot inside a closed-bore 3T MRI scanner. Z-shape fiducial frame was attached for a calibration. (B) The diagram shows communication data flow of the proposed software system.
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