Real-Time 3D Image Segmentation by User-Constrained Template Deformation
Résumé
We describe an algorithm for 3D interactive image segmenta- tion by non-rigid implicit template deformation, with two main original features. First, our formulation incorporates user input as inside/outside labeled points to drive the deformation and improve both robustness and accuracy. This yields inequality constraints, solved using an Augmented Lagrangian approach. Secondly, a fast implementation of non-rigid template-to-image registration enables interactions with a real-time visual feedback. We validated this generic technique on 21 Contrast-Enhanced Ultrasound images of kidneys and obtained accurate segmentation results (Dice> 0:93) in less than 3 clicks in average. Copyright Springer-Verlag Berlin Heidelberg 2012. The original publication is available at www.springerlink.com: http://link.springer.com/chapter/10.1007%2F978-3-642-33415-3_69.
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