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
Move the mouse into a region and click
The Java script executes the Fast Marching Method to segment the desired
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.
Try clicking outside the entire region, and see that the front collapses
in on the body.
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 firstname.lastname@example.org