The role of the image phase in cardiac strain imaging

Martino Alessandrini (1) , Adrian Basarab (2, 3) , Mathieu de Craene (4) , Maxime Sermesant (5) , Hervé Liebgott (6) , Olivier Bernard (7) , Jan d'Hooge (1)

1 Laboratory of Cardiovascular Imaging and Dynamics
2 IRIT-TCI - Traitement et Compréhension d’Images
3 UT3 - Université Toulouse III - Paul Sabatier
4 Medisys - MedisysResearch Lab
5 ASCLEPIOS - Analysis and Simulation of Biomedical Images
6 Imagerie Ultrasonore
7 Images et Modèles

This paper reviews our most recent contributions in the field of cardiac deformation imaging, which includes a motion estimation framework based on the conservation of the image phase over time and an open pipeline to benchmark algorithms for cardiac strain imaging in 2D and 3D ultrasound. The paper also shows an original evaluation of the proposed motion estimation technique based on the new benchmarking pipeline.

Mots clés: Simulations; Medical imaging; Heart; Quality assurance; Echocardiography; MRI; Deformation imaging

Domaines: Synthèse d'image et réalité virtuelle [cs.GR]; Traitement du signal et de l'image [eess.SP]; Traitement des images [eess.IV]; Vision par ordinateur et reconnaissance de formes [cs.CV]; Intelligence artificielle [cs.AI]

Martino Alessandrini, Adrian Basarab, Mathieu de Craene, Maxime Sermesant, Hervé Liebgott, et al.. The role of the image phase in cardiac strain imaging. EUSIPCO 2015 - 23rd European Signal Processing Conference, Aug 2015, Nice, France. pp.2796-2800, ⟨10.1109/EUSIPCO.2015.7362894⟩. ⟨hal-01265886v2⟩