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Real-time Target Tracking of Soft Tissues in 3D Ultrasound Images Based on Robust Visual Information and Mechanical Simulation
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.
Cited literature [51 references]
https://hal.inria.fr/hal-01374589
Contributor : Eric Marchand <>
Submitted on : Friday, September 30, 2016 - 4:35:16 PM
Last modification on : Friday, November 13, 2020 - 1:42:04 PM
Long-term archiving on: : Saturday, December 31, 2016 - 4:00:20 PM
Contributor : Eric Marchand <>
Submitted on : Friday, September 30, 2016 - 4:35:16 PM
Last modification on : Friday, November 13, 2020 - 1:42:04 PM
Long-term archiving on: : Saturday, December 31, 2016 - 4:00:20 PM
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