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HISTORY OF THE METHODS/FLOW CHART
ABOUT THE AUTHOR/CV
1996, 1999, 2006
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
level set methods.
To demonstrate, below is a two-dimensional cross-section of a scan across
the chest: the patient's feet are pointed out of the screen, and the heart,
liver, and various other features are visible.
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- 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.