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The IGT basic navigation tutorial in progress.
The IGT basic navigation tutorial in progress.
Figure: The IGT advanced navigation tutorial in progress.
Figure: The IGT advanced navigation tutorial in progress.
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.
Figure 2: Visualization of some of ROIs outlined by the atlas. These ROIs correspond to the major anatomical fiber tracts.
Figure 2: Visualization of some of ROIs outlined by the atlas. These ROIs correspond to the major anatomical fiber tracts.
Figure 7: Patient-specific modeling in a patient with congenital heart disease.
Figure 7: Patient-specific modeling in a patient with congenital heart disease.
Figure 2: The hippocampus is known to be vulnerable to hypoxia, stress, and undernutrition, all likely to be present in fetal intrauterine growth restriction (IUGR). The effect of IUGR in preterm infants on the hippocampus was studied using 3D magnetic resonance imaging at term-equivalent age Thirteen preterm infants born with IUGR after placental insufficiency were compared with 13 infants with normal intrauterine growth age matched for gestational age. The hippocampal structural differences were defined using voxel-based morphometry and manual segmentation. The specific neurobehavioral function was evaluated by the Assessment of Preterm Infants' Behavior at term and at 24 mo of corrected age by a Bayley Scales of Infant and Toddler Development. Voxel-based morphometry detected significant gray matter volume differences in the hippocampus between the two groups. This finding was confirmed by manual segmentation of the hippocampus with a reduction of hippocampal volume after IUGR. The hippocampal volume reduction was further associated with functional behavioral differences at term-equivalent age in all six subdomains of the Assessment of Preterm Infants' Behavior but not at 24 mo of corrected age. We conclude that hippocampal development in IUGR is altered and might result from a combination of maternal corticosteroid hormone exposure, hypoxemia, and micronutrient deficiency.
Figure 2: The hippocampus is known to be vulnerable to hypoxia, stress, and undernutrition, all likely to be present in fetal intrauterine growth restriction (IUGR). The effect of IUGR in preterm infants on the hippocampus was studied using 3D magnetic resonance imaging at term-equivalent age Thirteen preterm infants born with IUGR after placental insufficiency were compared with 13 infants with normal intrauterine growth age matched for gestational age. The hippocampal structural differences were defined using voxel-based morphometry and manual segmentation. The specific neurobehavioral function was evaluated by the Assessment of Preterm Infants' Behavior at term and at 24 mo of corrected age by a Bayley Scales of Infant and Toddler Development. Voxel-based morphometry detected significant gray matter volume differences in the hippocampus between the two groups. This finding was confirmed by manual segmentation of the hippocampus with a reduction of hippocampal volume after IUGR. The hippocampal volume reduction was further associated with functional behavioral differences at term-equivalent age in all six subdomains of the Assessment of Preterm Infants' Behavior but not at 24 mo of corrected age. We conclude that hippocampal development in IUGR is altered and might result from a combination of maternal corticosteroid hormone exposure, hypoxemia, and micronutrient deficiency.
Figure 8: At top right, the 3D Slicer software platform used for MRI-guided biopsy. The 3D Slicer provides guidance and navigation during MRI-guided biopsy, allowing for multiplanar views of image volumes, target selection, and control of the MR scanner imaging plane. Here, T2W images obtained in the axial plane are shown. The control panel shown is used for slice selection to ensure that the real-time planar imaging obtained during needle insertion contains the desired target. On the left, a robotic assistant system for prostate intervention in a 3T closed-bore MRI scanner. The robot is placed between the patient’s legs and the MRI compatible mechanism (bottom right). The pneumatic actuator ensures no interference to MR images.
Figure 8: At top right, the 3D Slicer software platform used for MRI-guided biopsy. The 3D Slicer provides guidance and navigation during MRI-guided biopsy, allowing for multiplanar views of image volumes, target selection, and control of the MR scanner imaging plane. Here, T2W images obtained in the axial plane are shown. The control panel shown is used for slice selection to ensure that the real-time planar imaging obtained during needle insertion contains the desired target. On the left, a robotic assistant system for prostate intervention in a 3T closed-bore MRI scanner. The robot is placed between the patient’s legs and the MRI compatible mechanism (bottom right). The pneumatic actuator ensures no interference to MR images.
Figure 1: Exemplar case for diffusion tensor imaging tractography. (Upper left panel) Fiber tractography combined with sagittal and axial slices from a fractional anisotropy map computed with 3DSlicer. (Upper right panel) Fiber tracts generated from regions of interest in the posterotemporal lobe (yellow), splenium of the corpus callosum (pink), and temporal stem (green). (Lower right panel) Three-dimensional visualization of the computed trajectory of the inferior occipitofrontal fasciculus bundle (red).
Figure 1: Exemplar case for diffusion tensor imaging tractography. (Upper left panel) Fiber tractography combined with sagittal and axial slices from a fractional anisotropy map computed with 3DSlicer. (Upper right panel) Fiber tracts generated from regions of interest in the posterotemporal lobe (yellow), splenium of the corpus callosum (pink), and temporal stem (green). (Lower right panel) Three-dimensional visualization of the computed trajectory of the inferior occipitofrontal fasciculus bundle (red).
Figure 2: Volumetric rendering and growth dynamics of the MTS in the collagen I matrix at four consecutive time points Volumetric rendering and growth dynamics of the MTS in the collagen I matrix at four consecutive time points. (A) The segmented MTS is reconstructed in 3D and the color-coding indicates the growth increase at each time point. The MTS appears to grow anisotropic, which may indicate regional heterogeneities in composition of either MTS or microenvironment, or both, and/or point towards a heterogeneous local interaction between cells and gel. (B) MTS volume and surface area are calculated and plotted over time.
Figure 2: Volumetric rendering and growth dynamics of the MTS in the collagen I matrix at four consecutive time points Volumetric rendering and growth dynamics of the MTS in the collagen I matrix at four consecutive time points. (A) The segmented MTS is reconstructed in 3D and the color-coding indicates the growth increase at each time point. The MTS appears to grow anisotropic, which may indicate regional heterogeneities in composition of either MTS or microenvironment, or both, and/or point towards a heterogeneous local interaction between cells and gel. (B) MTS volume and surface area are calculated and plotted over time.
Figure 3: View of the system interface as presented to the clinician.
Figure 3: View of the system interface as presented to the clinician.
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