2012 Summer Project Week:Atlas based segmentation for head and neck

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Background

3D models with labeled structures of interest must be created for radiation therapy patients to create a treatment plan. Manual segmentation of structures is time consuming and must be done by trained doctors or anatomists. We explore an automated method using an atlas of labeled scans of other patients to produce labels for the new unlabeled scan.

Key Investigators

• MIT: Amelia Arbisser, Polina Golland
• MGH: Nadya Shusharina, Greg Sharp

Objective

Automatically segment structures in the head and neck using an atlas-based segmentation method.

Approach, Plan

Implement the tool to explore optimal combinations of registration and voting methods.

Progress

We have written a weighted voting method and tried with some registration techniques. We also tried majority voting.