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Figure 9: Sagittal (perpendicular to beam axis) SFGR images through the beam focal zone (arrows) at the end of two 10-sec sonications (top left, first sonication at first location: top right. second sonication at second location; acoustic power, 75 W) and 40 minutes after the sonications (bottom left). (Bottom right) T1-weighted FSE image obtained 57 minutes after the sonications (TR = 700 msec). The location of temperature elevation and resulting tissue necrosis is clearly seen.
Figure 9: Sagittal (perpendicular to beam axis) SFGR images through the beam focal zone (arrows) at the end of two 10-sec sonications (top left, first sonication at first location: top right. second sonication at second location; acoustic power, 75 W) and 40 minutes after the sonications (bottom left). (Bottom right) T1-weighted FSE image obtained 57 minutes after the sonications (TR = 700 msec). The location of temperature elevation and resulting tissue necrosis is clearly seen.
Figure 1: three-dimensional reconstruction of prefrontal gray and white matter measured in relationship to the cortex and the ventricles.
Figure 1: three-dimensional reconstruction of prefrontal gray and white matter measured in relationship to the cortex and the ventricles.
Figure 1: Reconstruction of a wavelet-encoded image using all of the data (a) and using only one third of the data (b) to demonstrate spatially selective resolution of the wavelet transform.
Figure 1: Reconstruction of a wavelet-encoded image using all of the data (a) and using only one third of the data (b) to demonstrate spatially selective resolution of the wavelet transform.
Figure 1: Panel A and B show the 3D surface rendering of the brain surface from MR data for a normal control (left) and a schizophrenic patient (right). These surface renderings are in the same standard orientation (see description of method in the text). Panel C and D show the results of applying geometry-limited diffusion to the 3D surface rendering of the brain; the resulting lines observed represent the locations of sulci.
Figure 1: Panel A and B show the 3D surface rendering of the brain surface from MR data for a normal control (left) and a schizophrenic patient (right). These surface renderings are in the same standard orientation (see description of method in the text). Panel C and D show the results of applying geometry-limited diffusion to the 3D surface rendering of the brain; the resulting lines observed represent the locations of sulci.
Figure 7: Segmentation and corrected image
Figure 7: Segmentation and corrected image
Figure 1: Regions of interest on SPECT images of a patient with chronic fatigue syndrome.
Figure 1: Regions of interest on SPECT images of a patient with chronic fatigue syndrome.
Figure 1: High resolution image from a digital brain atlas. This rendering provides additional anatomical context for the figure with the individually marked time points.
Figure 1: High resolution image from a digital brain atlas. This rendering provides additional anatomical context for the figure with the individually marked time points.
Figure 8: Phase-encoded (a) and wavelet-encoded (b) images of a kiwi fruit.
Figure 8: Phase-encoded (a) and wavelet-encoded (b) images of a kiwi fruit.
Figure 8: Comparison of filtered images with different number of excitations (NEX).
Figure 8: Comparison of filtered images with different number of excitations (NEX).
Figure 2: Three Dimensional Reconstructions and Rotations of Tissue Classes Defined by Automated Segmentation (Classification) Algorithms.
Figure 2: Three Dimensional Reconstructions and Rotations of Tissue Classes Defined by Automated Segmentation (Classification) Algorithms.
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