Research
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Current Research
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Shape parameter networks were developed to
provide a method for producing space-filling multi-object anatomical shape
models that guarantee boundary consistency without resorting to an expensive
optimization process. A shape parameter
network is a directed acyclic graph whose nodes are shape parameters. Each shape parameter represents
scalar, vector, or tensor data that characterizes some aspect of an object's
shape. An initial
proof-of-concept model has been constructed for the human eye, which produces
a volumetric representation of an eye from 30 input parameter values and a
number of shape constraints built into the model. |
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Adaptive Subdivision for Rendering Quadratic Tetrahedal Finite Element Models |
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A technique has been developed to adaptively
subdivide quadratic triangular faces, such as those found in the quadratic
tetrahedral elements of many finite element models. The number of
subdivisions varies based on a curvature metric in order to accurately
represent the curved nature of the face while keeping the number of rendered
linear triangles to a minimum. A "snapping" scheme is employed
to prevent holes from forming on the rendered surface along the border of areas
with different levels of subdivision. Various curvature metrics have
implemented and compared for efficiency. |
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A method has been developed for creating smooth cuts through the full
or partial thickness of a volumetric finite element model. A key benefit of this method is that
it operates without generating large numbers of new vertices, thus preventing
the complexity of the model from growing quickly with successive cuts. |
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An
innovative gait rehabilitation system was developed that combines the use of advanced
rehabilitation techniques with a virtual reality (VR) training
environment. The VR-Gait system consists
of VR software that generates and displays a dynamic urban environment on a
large high definition television mounted in front of a treadmill. The treadmill is paired with an
overhead suspension device that can provide a patient with partial weight
support. Inertial tracking is
used to actively monitor a patient’s posture during a training session
and prompt auditory cues that encourage a patient to maintain correct walking
posture. This project aims to
demonstrate that improved gait rehabilitation can be accomplished using a VR
environment composed of widely available, relatively inexpensive, and
unobtrusive hardware components. A validation study with stroke patients is
currently ongoing. |
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The CALIPSO satellite launched by
NASA in 2006 uses an onboard lidar instrument to measure
the vertical distribution of clouds and aerosols along the orbital path. This satellite’s dense vertical sampling
of the atmosphere provides previously unavailable information about the altitude
and composition of clouds, including the polar stratospheric clouds (PSCs) that play an important role in the annual formation
of polar ozone holes. Reconstruction
of cloud surfaces through interpolation of CALIPSO data is challenging due to
the sparsity of the data in the non-vertical dimensions
and the complex sampling pattern created by intersecting non-planar orbital paths. This research project has focused on developing a method
for computing cloud surfaces via shape-based interpolation of the cloud contours
on each cross-section. This method
successfully interpolated cloud contours from CALIPSO data acquired during the
2006 polar winter and enabled three dimensional visualization
of the PSCs. |
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The iBOWS project
aims to provide an intuitive and interactive interface to robust numerical
models that represent bodies of water. This project extends the Chesapeake
Bay Interactive Model, described below, to include additional interactive
features and a variety of new and customizable models. The |
Previous Research
Projects
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Wound
Debridement Simulator |
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