A polynomial hyperelastic model for the mixture of fat and glandular tissue in female breast.

نویسندگان

  • Jose L Calvo-Gallego
  • Javier Martínez-Reina
  • Jaime Domínguez
چکیده

In the breast of adult women, glandular and fat tissues are intermingled and cannot be clearly distinguished. This work studies if this mixture can be treated as a homogenized tissue. A mechanical model is proposed for the mixture of tissues as a function of the fat content. Different distributions of individual tissues and geometries have been tried to verify the validity of the mixture model. A multiscale modelling approach was applied in a finite element model of a representative volume element (RVE) of tissue, formed by randomly assigning fat or glandular elements to the mesh. Both types of tissues have been assumed as isotropic, quasi-incompressible hyperelastic materials, modelled with a polynomial strain energy function, like the homogenized model. The RVE was subjected to several load cases from which the constants of the polynomial function of the homogenized tissue were fitted in the least squares sense. The results confirm that the fat volume ratio is a key factor in determining the properties of the homogenized tissue, but the spatial distribution of fat is not so important. Finally, a simplified model of a breast was developed to check the validity of the homogenized model in a geometry similar to the actual one.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

بررسی عوامل موثر بر متوسط دوز غده ای در ماموگرافی با استفاده از کد شبیه سازی MCNPX

Background: Average glandular dose (AGD), entrance skin air kerma (ESAK) and normalized glandular dose (DgN) are the main dosimetric quantities in mammography. Breast tissue composition is one of the factors affecting on DgN values. In this study both homogeneous and heterogeneous breast tissue is assumed and its impact on DgN values are evaluated. Methods: Homogeneous breast phantom with diffe...

متن کامل

نتایج یک کُد فرترن برای محاسبه دوز غده‌ای در ماموگرافی با استفاده از پارامترهای Sobol-Wu

Background: Accurate computation of the radiation dose to the breast is essential to mammography. Various the thicknesses of breast, the composition of the breast tissue and other variables affect the optimal breast dose. Furthermore, the glandular fraction, which refers to the composition of the breasts, as partitioned between radiation-sensitive glandular tissue and the adipose tissue, also h...

متن کامل

Rubber/Carbon Nanotube Nanocomposite with Hyperelastic Matrix

An elastomer is a polymer with the property of viscoelasticity, generally having notably low Young's modulus and high yield strain compared with other materials.  Elastomers, in particular rubbers, are used in a wide variety of products ranging from rubber hoses, isolation bearings, and shock absorbers to tires. Rubber has good properties and is thermal and electrical resistant. We used carbon ...

متن کامل

Determination of Average Glandular Dose in Mammography for Rh-Rh Mammogram Using Sobol-Wu Parameters in FORTRAN Code

Introduction: To write a computational program to calculate the average glandular dose in Mammography with Rh-Rh target-filter and also use it as an accurate and fast method of dose calculation founder different situations. Materials and Methods: In this research, the Sobol-Wu parameters are used to write a FORTRAN code for glandular dose calculation in Rh-Rh target-filter mammograms. The code ...

متن کامل

Estimating average glandular dose in routine mammography screening using neural network

Given the extensive use of common mammography tests for screening and diagnosis of breast cancer, there are concerns over the increased dose absorbed by the patient due to the sensitivity of the breast tissue. Thus, knowing the Mean Glandular Dose (MGD) before radiation to the patient through its estimation can be helpful. For this reason, the MultiLayer Perceptron (MLP) neural network model wa...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • International journal for numerical methods in biomedical engineering

دوره 31 9  شماره 

صفحات  -

تاریخ انتشار 2015