Real-time target tracking of soft tissues in 3D ultrasound images based on robust visual information and mechanical simulation.
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.
Institut de Recherche Technologique b-com, Rennes, France; Inria Rennes - Bretagne Atlantique, France; INSA de Rennes, France. Electronic address: lucas.royer@b-com.com.
Lucas
L
Royer
Institut de Recherche Technologique b-com, Rennes, France; Inria Rennes - Bretagne Atlantique, France.
Alexandre
A
Krupa
Institut de Recherche Technologique b-com, Rennes, France.
Guillaume
G
Dardenne
Institut de Recherche Technologique b-com, Rennes, France; CHU de Rennes, France.
Anthony
A
Le Bras
Université de Rennes 1, France; IRISA, Rennes, France.
Eric
E
Marchand
Institut de Recherche Technologique b-com, Rennes, France; INSA de Rennes, France; IRISA, Rennes, France.
Maud
M
Marchal
D000465:Algorithms; D003198:Computer Simulation; D016208:Databases, Factual; D021621:Imaging, Three-Dimensional / Q000379:methods*; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D014463:Ultrasonography / Q000379:methods*
3D ultrasound images; Deformable model; Dense information; Tracking