Vessel tracking by connecting the dots
Colorado School of Mines
| Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/1406 |
Submitted by Andrzej Szymczak on 07-06-2008.
We propose an algorithm for tracking blood vessel segments in Computed Tomographic (CT) images.
Our procedure first finds core points that tend to concentrate along the centerlines of vessels. Intuitively,
the core points are centers of intensity plateaus in two-dimensional slices through the input image. The
starting and the end point of the desired vessel (S and E) are also considered core points. The weighted
core graph is built by connecting nearby core points with edges. Edge weights are designed so that edges
of large weights are unlikely to follow a vessel segment. We compute the shortest path connecting S and
E in the core graph. The output is the result of applying shortcutting operations to this path.
Our procedure first finds core points that tend to concentrate along the centerlines of vessels. Intuitively,
the core points are centers of intensity plateaus in two-dimensional slices through the input image. The
starting and the end point of the desired vessel (S and E) are also considered core points. The weighted
core graph is built by connecting nearby core points with edges. Edge weights are designed so that edges
of large weights are unlikely to follow a vessel segment. We compute the shortest path connecting S and
E in the core graph. The output is the result of applying shortcutting operations to this path.
Reviews
Quick Comments
Resources
| Download Package | |
| Download Paper, View Paper | |
Statistics more
| Global rating: | ![]() ![]() ![]() ![]()
|
| Review rating: | ![]() ![]() ![]() ![]() [review]
|
| Paper Quality: |
|
Information more
Share
Associated Publications more
| Coronary Centerline Extraction Using Multiple Hypothesis Tracking and Minimal Paths | ||
View license
Loading license...
Send a message to the author

