Real-Time 3d image segmentation by user-constrained template deformation

Authors:
Benoît Mory;Oudom Somphone;Raphael Prevost;Roberto Ardon
Affiliations:
Medisys, Philips Research, Suresnes, France;Medisys, Philips Research, Suresnes, France;Medisys, Philips Research, Suresnes, France;Medisys, Philips Research, Suresnes, France
Venue:
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Year:
2012

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Abstract

We describe an algorithm for 3D interactive image segmentation 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 (Dice0.93) in less than 3 clicks in average.