Motion estimation in 3D echocardiography using smooth field registration

Oudom Somphone (1) , Cecile Dufour (1) , Benoît Mory (1) , Loïc Hilpert (2) , Sherif Makram-Ebeid (1) , Nicolas Villain (1) , Mathieu de Craene (1) , Allain Pascal (1) , Eric Saloux (2)

1 Medisys - MedisysResearch Lab
2 Service de cardiologie et de pathologie vasculaire [CHU Caen]

This paper describes an algorithm for motion and deforma- tion quanti cation of 3D cardiac ultrasound sequences. The algorithm is based on the assumption that the deformation eld is smooth inside the myocardium. Thus, we assume that the displacement eld can be represented as the convolution of an unknown eld with a Gaussian kernel. We apply our algorithm to datasets with reliable ground truth: a set of synthetic sequences with known trajectories and a set of sequences of a mechanical phantom implanted with microsonometry crystals. The final publication is available at link.springer.com

Mots clés: Motion Estimation; Myocardial Motion; 3D Cardiac Ultra- sound; Demons; Phantom; Microsonometry

Domaines: Imagerie médicale; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Oudom Somphone, Cecile Dufour, Benoît Mory, Loïc Hilpert, Sherif Makram-Ebeid, et al.. Motion estimation in 3D echocardiography using smooth field registration. Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012, Oct 2012, Nice, France. pp.151-158, ⟨10.1007/978-3-642-36961-2_18⟩. ⟨hal-00924983⟩