Last Revised:
July 18, 2001
Copyright © 1998 - 2001
Joy P. Ku
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I am currently a grad student at Stanford University, studying
Electrical Engineering but doing research for the Division of
Vascular Surgery and taking classes in Computer Science,
Mechanical Engineering, and oh yeah, Electrical Engineering.
I am starting my sixth year and am headed down the home
stretch (I've got my fingers crossed!).
During my time here in the Cardiovascular
Biomechanics Research Lab, I've worked on several different
projects. These days I am focused on understanding the large
amount of data we have collected on pig physiology before and
after a thoraco-thoraco bypass operation. This data is also
used to validate a surgical simulation system that we have
developed. In contrast to most Ph.D.s, I feel that I have
learned about many different topics--from magnetic resonance
imaging to image segmentation to fluid dynamics to
cardiovascular physiology to impedance modeling--rather than
delved deeply into one topic. It's been a great learning
experience!
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Here are other projects that I've dabbled in over the
years:
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Three-dimensional ultrasound. This was my
original thesis topic. I was
working on converting the 2D ultrasound images, which are acquired
freehand, into a 3D lattice. I have also explored different
wavelet-based noise filtering algorithms for ultrasound images.
Phantom design. To test the accuracy of the
3D ultrasound system and algorithms, I have built several
ultrasound and MR-compatible phantoms. With the help of numerous
people, I have experimented with and characterized a number of tissue
mimic materials, including the standard agar mixture and polyvinyl
alcohol cryogel. Here are MR images from
the latest phantom that
I built with help from my friend, Alec.
Computer-aided surgical planning. In
June 1998
our lab headed down to San Diego to present a demo of
computer-aided surgical planning at the Society of Vascular
Surgery meeting. My contribution was designing and implementing
the visualization of the 3D models of the different surgical plans
using VRML. It's pretty cool (no bias here!), and what's even more
amazing is that we implemented this in 3 months!!
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