Neuroimage Analysis Center

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"understanding the human brain through imaging"

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Figure 4: Colored magnitude map of the displacement vectors overlayed on the image scanned before the craniotomy (case #1, FOV 240 mm). Cortical area of up to 15 mm deep shift up to 8 mm.
Figure 4: Colored magnitude map of the displacement vectors overlayed on the image scanned before the craniotomy (case #1, FOV 240 mm). Cortical area of up to 15 mm deep shift up to 8 mm.
Figure 1: A, Coronal slice (1.5 mm) through the temporal lobe of a healthy control subject. The regions of interest for the structures are outlined: the gray matter of Heschl gyrus (HG) is red on subject left and green on subject right. The gray matter of planum temporale (PT) is labeled yellow on subject left and blue on subject right. B, Top-down view of the 3-dimensional reconstruction of HG and PT placed on top of an axial magnetic resonance imaging slice. Anterior is top. The HG is red on subject left and green on subject right, and PT is blue on subject left and yellow on subject right. C, Three-dimensional reconstruction of the left and right regions of interest, color coded as in section B but from a slightly different angle of rotation from that in section B. Note the tubular structure of the gray matter of the superior temporal gyrus, most clearly seen anteriorly, where gray codes non-HG, non-PT portions of superior temporal gyrus. D, Three-dimensional reconstructions viewed from a different angle from that in section C (D1 is subject right and D2 is subject left).
Figure 1: A, Coronal slice (1.5 mm) through the temporal lobe of a healthy control subject. The regions of interest for the structures are outlined: the gray matter of Heschl gyrus (HG) is red on subject left and green on subject right. The gray matter of planum temporale (PT) is labeled yellow on subject left and blue on subject right. B, Top-down view of the 3-dimensional reconstruction of HG and PT placed on top of an axial magnetic resonance imaging slice. Anterior is top. The HG is red on subject left and green on subject right, and PT is blue on subject left and yellow on subject right. C, Three-dimensional reconstruction of the left and right regions of interest, color coded as in section B but from a slightly different angle of rotation from that in section B. Note the tubular structure of the gray matter of the superior temporal gyrus, most clearly seen anteriorly, where gray codes non-HG, non-PT portions of superior temporal gyrus. D, Three-dimensional reconstructions viewed from a different angle from that in section C (D1 is subject right and D2 is subject left).
Figure 13: Adaptive filtering of CT data through the head. The middle row shows thresholding of the original data with two different threshold. The lower row shows the effect of thresholding the adaptively filtered data.
Figure 13: Adaptive filtering of CT data through the head. The middle row shows thresholding of the original data with two different threshold. The lower row shows the effect of thresholding the adaptively filtered data.
Figure: Segmentation of brain tissues.
Figure: Segmentation of brain tissues.
Figure 8: MRI of a patient knee (Figure 8(a)), the ATM SVC segmentation of the cartilage of Figure 8(a) and surface renderings of the ATM SVC segmentation of the entire volume, showing the automated segmentation of bone and cartilage
Figure 8: MRI of a patient knee (Figure 8(a)), the ATM SVC segmentation of the cartilage of Figure 8(a) and surface renderings of the ATM SVC segmentation of the entire volume, showing the automated segmentation of bone and cartilage
Figure 1: Surface models of skin, tumor (green), motor cortex (yellow), auditory verb generation (red), and visual verb generation (blue), are integrated with slices.
Figure 1: Surface models of skin, tumor (green), motor cortex (yellow), auditory verb generation (red), and visual verb generation (blue), are integrated with slices.
Figure 8: Left: Original tensor data. Right: Tracking fibers after applying the max shape operator. 10 points were randomly seeded at one end of each of the three branches. Note how the stream lines “tunnel” trough the area in the center where the information of directionality is uncertain.
Figure 8: Left: Original tensor data. Right: Tracking fibers after applying the max shape operator. 10 points were randomly seeded at one end of each of the three branches. Note how the stream lines “tunnel” trough the area in the center where the information of directionality is uncertain.
Figure 1: This figure illustrates the fractional segmentation of the white matter region from one slice of a subject with multiple sclerosis. Intensity in image (c) is proportional to the fraction of white matter damage estimated to be present at the voxel.
Figure 1: This figure illustrates the fractional segmentation of the white matter region from one slice of a subject with multiple sclerosis. Intensity in image (c) is proportional to the fraction of white matter damage estimated to be present at the voxel.
Figure 1: MRI procedures were performed. Initially, we calculated a simple 3D rendering of a SPD subject’s brain with the left STG highlighted in red. For clearer visualization of the gyral structure, the brain surface was eroded one voxel in constructing this figure.
Figure 1: MRI procedures were performed. Initially, we calculated a simple 3D rendering of a SPD subject’s brain with the left STG highlighted in red. For clearer visualization of the gyral structure, the brain surface was eroded one voxel in constructing this figure.
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