Full-field noise-correlation elastography for in-plane mechanical anisotropy imaging

Agathe Marmin (1) , Nina Dufour (1) , Sybille Facca (1) , Stefan Catheline , Simon Chatelin (1) , Amir Nahas (1)

1 ICube - Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie

Elastography contrast imaging has great potential for the detection and characterization of abnormalities in soft biological tissues to help physicians in diagnosis. Transient shear-waves elastography has notably shown promising results for a range of clinical applications. In biological soft tissues such as muscle, high mechanical anisotropy implies different stiffness estimations depending on the direction of the measurement. In this study, we propose the evolution of a noise-correlation elastography approach for in-plane anisotropy mapping. This method is shown to retrieve anisotropy from simulation images before being validated on agarose anisotropic tissue-mimicking phantoms, and the first results on in-vivo biological fibrous tissues are presented.

Domaines: Mécanique [physics]

Agathe Marmin, Nina Dufour, Sybille Facca, Stefan Catheline, Simon Chatelin, et al.. Full-field noise-correlation elastography for in-plane mechanical anisotropy imaging. Biomedical optics express, 2024, 15 (4), ⟨10.1364/BOE.516166⟩. ⟨hal-04525864⟩