Non-invasive imaging of Young’s modulus and Poisson’s ratio in cancers in vivo

Md Tauhidul Islam, Songyuan Tang, Chiara Liverani, Sajib Saha, Ennio Tasciotti, Raffaella Righetti

Research output: Contribution to journalArticlepeer-review

40 Scopus citations


Alterations of Young’s modulus (YM) and Poisson’s ratio (PR) in biological tissues are often early indicators of the onset of pathological conditions. Knowledge of these parameters has been proven to be of great clinical significance for the diagnosis, prognosis and treatment of cancers. Currently, however, there are no non-invasive modalities that can be used to image and quantify these parameters in vivo without assuming incompressibility of the tissue, an assumption that is rarely justified in human tissues. In this paper, we developed a new method to simultaneously reconstruct YM and PR of a tumor and of its surrounding tissues based on the assumptions of axisymmetry and ellipsoidal-shape inclusion. This new, non-invasive method allows the generation of high spatial resolution YM and PR maps from axial and lateral strain data obtained via ultrasound elastography. The method was validated using finite element (FE) simulations and controlled experiments performed on phantoms with known mechanical properties. The clinical feasibility of the developed method was demonstrated in an orthotopic mouse model of breast cancer. Our results demonstrate that the proposed technique can estimate the YM and PR of spherical inclusions with accuracy higher than 99% and with accuracy higher than 90% in inclusions of different geometries and under various clinically relevant boundary conditions.

Original languageEnglish (US)
Article number7266
Pages (from-to)7266
JournalScientific Reports
Issue number1
StatePublished - Apr 29 2020


  • Animals
  • Breast Neoplasms/pathology
  • Disease Models, Animal
  • Elasticity Imaging Techniques/methods
  • Female
  • Humans
  • Mice
  • Poisson Distribution
  • Reproducibility of Results
  • Stress, Mechanical

ASJC Scopus subject areas

  • General


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