MODULE II Semi-Automatic Segmentation

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MODULE II Semi-Automatic Segmentation RSNA ITK-SNAP Course Dec 1, 2015

Semi-Automatic Segmentation User: quickly identifies structure of interest and sets parameters Segmentation Algorithm

How does it work? Pre-segmentation Phase Identify parts of image as foreground and background Active Contour Phase Place seeds inside the structure of interest Grow the seeds to fill the structure of interest

Pre-segmentation Phase Speed Image Uncertain Background Foreground Images Region of Interest

Pre-segmentation Modes Thresholding sets thresholds Classification paints examples

Active Contour Evolution driven by Forces Image Force: outward over foreground, inward over background Smoothing Force: strongest in places of high curvature

Active Contour Evolution places seeds

Live demo of semi-automatic segmentation

Please work on exercises 3 and 4

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