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Real-time Target Tracking of Soft Tissues in 3D Ultrasound Images Based on Robust Visual Information and Mechanical Simulation

Lucas Royer 1, 2 Alexandre Krupa 2, 1 Guillaume Dardenne 2 Anthony Le Bras 2, 3 Eric Marchand 1 Maud Marchal 4, 2
1 Lagadic - Visual servoing in robotics, computer vision, and augmented reality
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
4 Hybrid - 3D interaction with virtual environments using body and mind
Inria Rennes – Bretagne Atlantique , IRISA-D6 - MEDIA ET INTERACTIONS
Abstract : In this paper, we present a real-time approach that allows tracking deformable structures in 3D ultrasound sequences. Our method consists in obtaining the target displacements by combining robust dense motion estimation and mechanical model simulation. We perform evaluation of our method through simulated data, phantom data, and real-data. Results demonstrate that this novel approach has the advantage of providing correct motion estimation regarding different ultrasound shortcomings including speckle noise, large shadows and ultrasound gain variation. Furthermore, we show the good performance of our method with respect to state-of-the-art techniques by testing on the 3D databases provided by MICCAI CLUST'14 and CLUST'15 challenges.
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Submitted on : Friday, September 30, 2016 - 4:35:16 PM
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Lucas Royer, Alexandre Krupa, Guillaume Dardenne, Anthony Le Bras, Eric Marchand, et al.. Real-time Target Tracking of Soft Tissues in 3D Ultrasound Images Based on Robust Visual Information and Mechanical Simulation. Medical Image Analysis, Elsevier, 2017, 35, pp.582 - 598. ⟨10.1016/j.media.2016.09.004⟩. ⟨hal-01374589⟩

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