Young’s modulus distribution prediction for elasticity imaging technique

Abstract

Elastography is a noninvasive method of determining the stiffness of a tissue. The basic premise is that whether the tissue is hard or soft can provide diagnostic information regarding the presence or absence of illness. Breast elastography is a modern sonographic imaging technology that, in addition to standard ultrasonography (US) and mammography, contains data on breast lesions. The primary goal of elastography in breast imaging is to detect tumors at an early stage by offering a non-invasive approach to determine the mechanical characteristics of breast tissue. Young's modulus (YM) in biological tissues is frequently used to predict the start of pathological diseases. Understanding of this parameter has been shown to be extremely useful in the diagnosis, prognosis, and therapy of cancers. In this work, imaging approaches has been provided based on the ways for producing a stress in the tissue (external mechanical force) and measuring the tissue response. In theory, elastography data may be used to determine the Young's Modulus distribution of the desired soft tissue area. On the other hand, Elastography methods can only extract the distribution of strain in a certain region. The stress distribution profile of the top surface is considered to be available in practice. Young's modulus of the tissue is based on immediate strain in reaction to stress distribution. In this study, the difference between simulated and actual stress distribution values from different lateral surfaces of the tissue have been observed, as well as the position of the tumor. Depending on the position, this error displays the sequence of problems that must be solved in order to anticipate the stress distribution. This work clearly shows the minimization of error using logical operation to improve in the biopsy using diagnostic procedures.