Authors
original page location http://math.berkeley.edu/~sethian/Applets/java_files_segmentation/segmentation.html
Interface Propagation and Isolating Shapes in Images:
Java Script for Medical Image Segmentation
The main idea here is to isolate and extract individual components from
a medical image. This is an important part of medical
imaging; once a shape is found, physicians can measure various quantities,
such as the size of tumors and the thickness of heart walls. Tracing the
boundary of these shapes by hand is time-consuming. Instead, the goal is
an automatic segementation technique
which finds the desired regions automatically. This can be done using a
combination of fast
marching methods and level
set methods.
Instructions:
-
Move the mouse into a region and click
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The Java script executes the Fast Marching Method to segment the desired
region.
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Things to try:
-
Click on individual regions to see the sensitivity of the technique. Notice
that the technique often finds boundaries that are not easy to see.
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Try clicking outside the entire region, and see that the front collapses
in on the body.
References
Malladi, R., Sethian, J.A., and Vemuri, B.,
Shape Modeling with Front
Propagation: A Level Set Approach , IEEE Trans. on Pattern Analysis
and Machine Intelligence, Vol. 17, No. 2, February 1995.
Sethian, J.A., Fast
Marching Methods and Level Set Methods: Evolving Interfaces in Computational
Geometry, Fluid Mechanics, Computer Vision and Materials Sciences, Cambridge
University Press, 1999.
J.A. Sethian sethian@math.berkeley.edu