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Figure 1: 3-D representations of the (a) SR-QRS complex, (b) VMHD and (c) the PVC-QRS complex, all of which have unique 3-D geometrical kernels. (d) Electrical signal propogate via different paths from the various heart sources to the surface leads V1-V6, which is reflected in their ECG channel’s axes.
Figure 1: 3-D representations of the (a) SR-QRS complex, (b) VMHD and (c) the PVC-QRS complex, all of which have unique 3-D geometrical kernels. (d) Electrical signal propogate via different paths from the various heart sources to the surface leads V1-V6, which is reflected in their ECG channel’s axes.
Figure 1: Activation maps of pneumatically driven left-index-finger movement (A) and volitional left-index-finger movement (B) from a representative healthy control subject; and pneumatically driven sequential right-finger movement (C) from a representative patient with recurrent low-grade glioma and preoperative weakness in the right hand and leg. Tasks display similar activation of S1 (yellow arrows), M1 (blue arrows), and SMA (green arrows). Figures are shown in radiologic convention.
Figure 1: Activation maps of pneumatically driven left-index-finger movement (A) and volitional left-index-finger movement (B) from a representative healthy control subject; and pneumatically driven sequential right-finger movement (C) from a representative patient with recurrent low-grade glioma and preoperative weakness in the right hand and leg. Tasks display similar activation of S1 (yellow arrows), M1 (blue arrows), and SMA (green arrows). Figures are shown in radiologic convention.
Figure 2: Fiber tractography results presented for each patient based on diffusion tensor imaging within iPlan Cranial (column 1), Slicer4 (column 2), and MedAlyVis (column 3) and based on high-angular-resolution diffusion imaging with compressed sensing within MedAlyVis (column 4).
Figure 2: Fiber tractography results presented for each patient based on diffusion tensor imaging within iPlan Cranial (column 1), Slicer4 (column 2), and MedAlyVis (column 3) and based on high-angular-resolution diffusion imaging with compressed sensing within MedAlyVis (column 4).
Figure: Applicator Registration and Labeled Needle Rendering from a MR Phantom Dataset within iGyne for 3D Slicer
Figure: Applicator Registration and Labeled Needle Rendering from a MR Phantom Dataset within iGyne for 3D Slicer
Figure 1: 3D Slicer interface with the Slicer-Editor on the left side and a loaded pituitary adenoma data set on the right side: axial slice (upper left window), sagittal slice (lower left window), coronal slice (lower right window) and the three slices shown in a 3D visualization (upper right window).
Figure 1: 3D Slicer interface with the Slicer-Editor on the left side and a loaded pituitary adenoma data set on the right side: axial slice (upper left window), sagittal slice (lower left window), coronal slice (lower right window) and the three slices shown in a 3D visualization (upper right window).
Figure 1: A 65-year-old, male. Right upper lobe adenocarcinoma with type A curve and kep 3.2 min-1. Postcontrast sagittal T1-weighted volumetric interpolated breath-hold examination image.
Figure 1: A 65-year-old, male. Right upper lobe adenocarcinoma with type A curve and kep 3.2 min-1. Postcontrast sagittal T1-weighted volumetric interpolated breath-hold examination image.
Figure 5: Example T1-weighted MR images of two rat brains over time from the (a) FUS + trastuzumab and (b) no treatment groups. The example shown in (a) is one of the 4/10 rats treated with FUS + trastuzumab where the tumor appeared to be completely resolved in MRI. In this example, no tumor was detected in MRI at weeks 7–13. Slight differences evident in the imaging planes from week-to-week was due to variability in animal positioning and MRI slice selection.
Figure 5: Example T1-weighted MR images of two rat brains over time from the (a) FUS + trastuzumab and (b) no treatment groups. The example shown in (a) is one of the 4/10 rats treated with FUS + trastuzumab where the tumor appeared to be completely resolved in MRI. In this example, no tumor was detected in MRI at weeks 7–13. Slight differences evident in the imaging planes from week-to-week was due to variability in animal positioning and MRI slice selection.
Figure 7: Interstitial treatment planning with the 100% isodose line in yellow. A) The preliminary plan consists of a uniform loading of all dwell positions. B) 3D optimization of the dwell loading results in increased coverage to the HR-CTV and sparing the OARs.
Figure 7: Interstitial treatment planning with the 100% isodose line in yellow. A) The preliminary plan consists of a uniform loading of all dwell positions. B) 3D optimization of the dwell loading results in increased coverage to the HR-CTV and sparing the OARs.
Figure 2: The photograph shows an overview of the 4-DOF MRI-compatible pneumatic needle placement robot and the agar phantom placed on the patient table of the MRI scanner. The phantom was removed from the scanner during the needle placement in the experiment.
Figure 2: The photograph shows an overview of the 4-DOF MRI-compatible pneumatic needle placement robot and the agar phantom placed on the patient table of the MRI scanner. The phantom was removed from the scanner during the needle placement in the experiment.
Figure 2: Results of multi-scale registration of randomly transformed synthetic brain (n=10) dataset (inferior view). Each subject is shown in a different color. The output brains are shown after each registration scale (σ), demonstrating successful coarse-to-fine registration. The output brains appear slightly “rotated” relative to standard AC-PC orientation due to some mean component of the initial random transforms.
Figure 2: Results of multi-scale registration of randomly transformed synthetic brain (n=10) dataset (inferior view). Each subject is shown in a different color. The output brains are shown after each registration scale (σ), demonstrating successful coarse-to-fine registration. The output brains appear slightly “rotated” relative to standard AC-PC orientation due to some mean component of the initial random transforms.
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