David Gering

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This report discusses one paper for linear data dimensionality reduction, Eigenfaces, and two recently developed nonlinear techniques. The first nonlinear method, Locally Linear Embedding (LLE), maps the input data points to a single global coordinate system of lower dimension in a manner that preserves the relationships between neighboring points. The(More)
Standard features of medical image viewers often include zoom & pan, image montage, and blended overlays. Zooming and panning are typically implemented with a convenient real-time mouse interface. For example, dragging while pressing the left mouse button pans, and dragging while pressing the right mouse button zooms. A montage refers to constructing a(More)
Dynamic contrast-enhanced MRI is often performed to characterize tissue by observing the passage of an agent injected into the bloodstream. MR images are acquired at regular intervals during a time period that begins prior to injection of the contrast agent, and extends through the agent's passage through the vasculature under study. The MRI signal observed(More)
For many applications of 3-D medical data visualization, common graphics hardware is capable of performing surface rendering of a few segmented structures in true real-time. Volume rendering, which can generate photo-realistic images, can be performed in near real-time by making a trade-off in image quality. An example of this trade-off is the feature where(More)
Visualization of 3-D medical scan data (e.g.: MRI, CT, PET) is often performed using surface rendering or volume rendering. Volume rendering is well suited for applications where the assignment of color and opacity values is straightforward given the image voxel intensities. This is true of CT data where there is a strong correlation between Hounsfield(More)
Anatomical surfaces can be extracted from a volume of medical imagery through segmentation, which is the process of labeling image voxels according to the tissue type represented. Many anatomical surfaces can be described as 2-D manifolds embedded within 3-D space. The manifolds could be linear, such as a plane, or non-linear, such as a curved sheet. In(More)
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