Projects:ProstateSegmentation

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Prostate Segmentation

The objective is to extract the prostate from a 3D ultrasound data set.

Description

Two ways are employed to attack the problem. The first way is a combination of Cellular Automata(CA also called Grow Cut) with Geodesic Active Contour(GAC) methods. While the second is using a ellipsoid to match the prostate in 3D image. The details are given below.

1. CA algorithm is used to give a rough segmentation which is fed into GAC for finer tuning. Both algorithm are implemented in 3D. A ITK-Cellular Automata filter, dealing with N-D data, has already been completed and submitted into the NA-MIC SandBox.

2. Prostate is usually modeled as an ellipsoid. We try using ellipsoid model, coupled with various local and global segmentation energy definition, to give an fully automatic segmentation.

Key Investigators

• Georgia Tech Algorithms: Yi Gao, Allen Tannenbaum