Quick Review of - S. You, L. Hong, M. Wan, K. Junyaprasert, A. Kaufman,
S. Muraki, Y. Zhou, M. Wax, and Z. Liang (1997). "Interactive Volume Rendering
for Virtual Colonoscopy ". Proc. IEEE Visualization '97, 433-436.
This paper examines the basics of their interactive
viewing system in addition to the system they used to achieve a realtime
virtual colonoscopy, and an explanation of their optimized volume renderer.
The problem present in this paper is similar to the problem I worked in
my MQP. When a patient has a tumor in their colon or trachae the physican
sends a camera attached to an optical camera into the tubes which is called
a colonoscopy or bronchoscopy depending on where the camera is going. This
procedure has a number of faults to it such as patient discomfort, high
cost, can create comlications, and the optical camera can only see straight
ahead. The alternative discussed in this paper is a virtual colonoscopy
which consists of taking a CT scan of the patient and using doing a virtual
fly through of that field data. Although this procedure is still slow,
not user friendly enough for a physician, has a limited resolution, and
limited colors, it is still a very promising procedure.
To collect the data, a set of 2D CT images
were made and combined into a 3D volume set and the surface is determined
using the Marching Cubes algorithm. In order to make the visualization
realtime, the authors implemented two existed techniques: surface-assisted
ray casting and parallelization. Surface-assisted ray casting is the process
in which ray-casting through empty space is avoided. Since the colon is
tubular, there is a lot of empty space that can be avoided. Using this
algorithm saves a lot of unnecessary processing time. Parallelization was
simply implementing the algorithm using multiple processors.
The equipment used here was a SGI Power Challenge
equipped with 16 R10000 processors using the Visible Male Data set giving
an average of 1frame/sec for a 512x512 volume set, 4 frames/sec for a 256x256
volume, and 16.6 frames/sec for a 128x128 volume set.
Virtual Colonoscopy by Visualization Lab at SUNY
at Stony Brook
Virtual Colonoscopy by Bowman Gray School of
Medicine
Virtual Bronchoscopy by WPI Sydney MQP Team
Virtual Bronchoscopy by WPI Sydney MQP Team
Actual Colonoscopy by Virtual Endoscopy
Center