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A novel Active Contour Model algorithm for contour detection in complex objects

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9 Author(s)
Gargano, G. ; Ist. Nazionale di Fisica Nucl., Bari ; Bellotti, R. ; De Carlo, F. ; Tangaro, S.
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A new active contour model (ACM) algorithm for the detection of the contour of bi-dimensional regions is presented. The algorithm is based on the simulation of an elastic band glued to the contour of the region under analysis. As a result a local convex hull is obtained, where the radius of the concave regions included by the elastic band is defined by properly tuning a parameter. A dedicated application to medical images is presented. The algorithm is part of a segmentation system able to extract the lung volume from 3D CT scans. The effectiveness of the algorithm is evaluated on a database of 15 low-dose CT scans (about 320 sectional images per CT), including 26 nodules. No pathological structure is missing after the lung volume segmentation, while a reduction of the volume to analyze is obtained to about 15% of the total volume of the original CT scan, and 25% of the chest volume.

Published in:

Computational Intelligence for Measurement Systems and Applications, 2007. CIMSA 2007. IEEE International Conference on

Date of Conference:

27-29 June 2007