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Medical /
Visualization
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The
system in this project provides GIS (Geospatial Information
System) data analysts with an effective way to visualize
multidimensional data and visually filter information
from it. In GISs, most of data are in conjunction with
location information and shown to data analysts on top
of the location layer such as a map. For this reason,
it is necessary to help them minimize distraction from
their track on the spatially distributed data and at
the same time handle database intuitively. With the
system we proposed in this project, avoiding
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complex
database schema, the analysts are able to build idea
towards the final decision through the repeated interaction
with data. Using this system, extended idea of Magic
LensTM interface, we made the way that data analysts
bring the movable visualization interface to the data
as opposed to the way that they repeatedly load the
data to visualization tool and analyze the data individually.
This system thus allows data analysts to effectively
keep their hypotheses in mind while they are applying
their hypotheses to the data. Taking advantage of it,
they can reach the higher knowledge level and ultimately
final decision.
Participants:
Sang-Joon Lee, James K. Hahn
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The
goal of this system is a computer-based educational
system that trains medical personnel in the performance
of a variety of needle stick procedures. The system
is designed to apply two syringe procedures, subcutaneous
insertion and intravenous insertion. For each procedure,
the system consists of a multimedia training component
and a virtual reality (VR) simulation system in which
the student performs the procedures. For each procedure
the tutorial subsystem provides a lesson that presents
information through multimedia contents and user-friendly
widgets.
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contents
and user-friendly widgets. At the end of the module or,
the student can execute the simulation module for their
practice purpose. The VR simulation incorporates a visual
display which presents a realistic view of the procedure
as it is performed. During the VR simulation, the user
is also able to feel haptic feedback of various virtual
patients in the simulation using the computer mouse and
PHANToM device which supplies 6- DOF input manipulation
and 3-DOF haptic feedback. (Funded by Casde Corp. and
the Army Research Institute)
Participants: Dongho Kim, Sang-Joon Lee, James K. Hahn
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We
are involved in a project in conjunction with the GW
Medical School for creating VR tools for surgical simulations.
This work is being performed as part of the Laboratory
for Advanced Computer Applications in Medicine (LACAM).
The idea is to use CT and MRI images of a specific patient
to allow surgeons to rehearse surgical procedures on
data from the actual patient, rather than on "representative"
data. This is used by the surgeons to both train and
rehearse for surgery. Some of the important problems
we are working on are: modeling tissue, fast simulation,
realistic rendering, and haptic interaction devices.
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(The
accompanying image is of the visible human data rendered
as isosurfaces.)
Participants:
James K. Hahn, Roger Kaufman, Raymond Walsh, Thurston
Carleton, Dongho Kim, Sang-Joon Lee
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The
main purpose of this system is simulating endoscopic
brain surgery. Due to the micro-level details and complex
structures in brain, neurosurgeons use endoscopes that
enlable closer view of the inside where not easily reached.
As one of the most important problem to be solved in
the simulation, the system should visualize the huge
data of virtual patient in real time, presenting the
satisfied quality of the images. This project is based
on the volume rendering techniques accelerated by texture
mapping hardware.
Participants:
Dongho Kim, Sang-Joon Lee, James K. Hahn
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This
project simulates the interaction of a needle with skin
using deformable surfaces and particle systems. We are
also simulating human hair and its movement using a
hybrid model.
Participants: Yi Wu, James K. Hahn
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In
this research, we propose a new robust segmentation
method for blood vessels from volume data. The proposed
method extracts a blood vessel with detailed geometry,
such as bifurcations and changes in radius. In addition,
it can generate an abstract tree data structure representing
the extracted blood vessel. Thus, the resulting data
is very useful for various geometric operations and
visualization in many 3D medical applications, including
surgical simulation.
Participants:
Kwang-Man Oh, James K. Hahn
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CT
or MR images acquired from the patient are used to automatically
segment out the vasculature which is then stored in
a hierarchical blood vessel data structure. This information
is used by the simulation module to perform a dynamic
simulation of a catheter moving through the vasculature.
A
proprietary force-feedback device has been developed
by the mechanical engineering department. This device
relays user movements to the simulation, which computes
the catheter interaction with the vasculature, and returns
the proper forces and torques to the device, which then
outputs them to the user.
The
rendering module accesses the blood vessel data structure,
the catheter data structure, as well as an environment
map to produce a fluoroscopic representation on a display
screen. The entire system operates at interactive frame
rates.
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The
catheter simulator has been used in the creation of
a tutorial and training simulation of Inferior Vena
Cava (IVC) filter placement. The filter is guided into
place using a catheter inserted through an incision
at a remote location. The procedure is monitored through
a fluoroscopic view of the patient presented on a screen
in front of the surgeon.
Participants:
James K. Hahn, Roger Kaufman, Raymond Walsh, Adam Winick,
Thurston Carleton, Nadia al-Ghreimil
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We
are designing an Object Oriented library of tools and
techniques for Scientific Data Visualization. We have
defined all common scientific objects as smart objects
(poly-lines, surfaces, volumes, etc.) and provide a
design which allows Functional Composition of Techniques
to take place.
Participants:
Jean Favre, James Hahn
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