Bio

Professional Education


  • Master of Science, Unlisted School (2015)
  • Bachelor of Science, Unlisted School (2011)
  • Doctor of Philosophy, Texas A&M University College Station (2018)

Stanford Advisors


Publications

All Publications


  • Non-invasive imaging of Young's modulus and Poisson's ratio in cancers in vivo. Scientific reports Islam, M. T., Tang, S., Liverani, C., Saha, S., Tasciotti, E., Righetti, R. 2020; 10 (1): 7266

    Abstract

    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.

    View details for DOI 10.1038/s41598-020-64162-6

    View details for PubMedID 32350327

  • An analytical poroelastic model for ultrasound elastography imaging of tumors PHYSICS IN MEDICINE AND BIOLOGY Islam, M., Chaudhry, A., Unnikrishnan, G., Reddy, J. N., Righetti, R. 2018; 63 (2): 025031

    Abstract

    The mechanical behavior of biological tissues has been studied using a number of mechanical models. Due to the relatively high fluid content and mobility, many biological tissues have been modeled as poroelastic materials. Diseases such as cancers are known to alter the poroelastic response of a tissue. Tissue poroelastic properties such as compressibility, interstitial permeability and fluid pressure also play a key role for the assessment of cancer treatments and for improved therapies. At the present time, however, a limited number of poroelastic models for soft tissues are retrievable in the literature, and the ones available are not directly applicable to tumors as they typically refer to uniform tissues. In this paper, we report the analytical poroelastic model for a non-uniform tissue under stress relaxation. Displacement, strain and fluid pressure fields in a cylindrical poroelastic sample containing a cylindrical inclusion during stress relaxation are computed. Finite element simulations are then used to validate the proposed theoretical model. Statistical analysis demonstrates that the proposed analytical model matches the finite element results with less than 0.5% error. The availability of the analytical model and solutions presented in this paper may be useful to estimate diagnostically relevant poroelastic parameters such as interstitial permeability and fluid pressure, and, in general, for a better interpretation of clinically-relevant ultrasound elastography results.

    View details for DOI 10.1088/1361-6560/aa9631

    View details for Web of Science ID 000422867100009

    View details for PubMedID 29336354