Biomechanical properties of breast tissue, a state-of-the-art review

This paper reviews the existing literature on the tests used to determine the mechanical properties of women breast tissues (fat, glandular and tumour tissue) as well as the different values of these properties. The knowledge of the mechanical properties of breast tissue is important for cancer detection, study and planning of surgical procedures such as surgical breast reconstruction using pre-surgical methods and improving the interpretation of clinical tests. Based on the data collected from the analysed studies, some important conclusions were achieved: (1) the Young’s modulus of breast tissues is highly dependent on the tissue preload compression level, and (2) the results of these studies clearly indicate a wide variation in moduli not only among different types of tissue but also within each type of tissue. These differences were most evident in normal fat and fibroglandular tissues

Characterization of biaxial mechanical properties of rubber and skin

textBreast cancer is one of the most frequently diagnosed cancers affecting women in the United States. An ongoing objective of many research groups is to develop a biomechanical breast model for different applications, ranging from surgical outcome predictions for patients undergoing breast reconstruction surgery, to image registration for planning plastic surgery. Achieving the goal of developing a physics based biomechanical model of the human breast requires the determination of material properties of the various tissues constituting the breast. The objective of this thesis is to develop an appropriate hybrid experimental-numerical technique to enable the calibration of material parameters of skin for different constitutive models (commonly used for skin). The quantification of the material parameters thus obtained validates the bulge test method to be used in testing soft tissue specimens like skin. A bulge test device was custom-built for this work; it consists of a pressure chamber, two digital cameras, and a syringe pump as its main components. The syringe pump provides a constant flow rate of water into the pressure chamber and results in the bulging of specimens with a diameter between 45 mm and 80 mm. Three-dimensional Digital Image Correlation technique is used to obtain full field displacement measurements of the three dimensional shape of the bulge. Tests were performed on commercial rubber sheets of different thickness and on porcine skin specimens; in these tests, the bulge shape was measured at monotonically increasing and decreasing pressure levels, as well as during cyclic loading allowing determination of the deformation and strain fields over the specimen surface. In order to extract the material properties, a hybrid experimental-numerical method was used: the experiment was modeled numerically using the finite element analysis software Abaqus, imposing the commonly used Mooney-Rivlin model for isotropic materials and the Gasser-Ogden-Holzapfel model for anisotropic materials. A comparison between the experimentally measured and numerically simulated bulge shapes was used to determine the optimized material parameters under biaxial loading conditions over a large range of stretch levels.Biomedical Engineerin

Predicting tumour location by simulating large deformations of the breast using a 3D finite element model and nonlinear elasticity

Abstract. Two of the major imaging modalities used to detect and monitor breast cancer are (contrast enhanced) magnetic resonance (MR) imaging and mammography. Image fusion, including accurate registration between MR images and mammograms, or between CC and MLO mammograms, is increasingly key to patient management (for example in the multidisciplinary meeting), but registration is extremely difficult because the breast shape varies massively between the modalities, due both to the different postures of the patient for the two modalities and to the fact that the breast is forcibly compressed during mammography. In this paper, we develop a 3D, patient-specific, anatomically accurate, finite element model of the breast using MR images, which can be deformed in a physically realistic manner using nonlinear elasticity theory to simulate the breast during mammography.

Towards combined x-ray and optical mammography

Optical contrast, dependent upon haemodynamics and thus providing physiological information, is complementary to radiographic contrast. Combined x-ray and optical mammography screening could provide increased specificity over either system alone. Medical imaging equipment is routinely characterised and tested using tissue equivalent phantoms. A novel phantom material is presented: a solution of polyvinyl alcohol in ethanol and water freeze-thawed to produce a solid yet elastically compressible gel. The x-ray attenuation, mechanical and optical properties of these gels can be accurately adjusted over appropriate ranges so as to mimic cancerous or healthy breast tissues. Modulated imaging in both optical and x-ray acquisitions is also considered. An x-ray system capable of optimising dose distribution has previously been developed at UCL. Overall images are obtained by aligning multiple images from smaller sensors. The effects that this type of acquisition has on spatial resolution are discussed. Two considerations are made: (i) is there a minimum size sensor whose modulation transfer function (MTF) can accurately be determined? (ii) does the MTF of an overall image differ significantly from those of its constituent images? The smaller a sensor becomes, the harder it is to determine its MTF accurately, and the resolution of overall images is slightly poorer than those of individual sensor images. Nonetheless these effects are small and should not hinder the development of such systems. Whilst similar dose considerations do not apply to optical tomography, modulated imaging still presents potential benefits. A method of visualising intensity data in order to localise regions of heterogenous absorption is presented using both simulated and experimental data. Objective functions designed to quantify the visibility of these heterogeneities are proposed and it is shown that optimal distributions of source power, that maximise these, can be found. It is proposed that such techniques might allow optical acquisitions to be performed more rapidly

Computer-aided diagnosis in mammography : correlation of regions in multiple standard mammographic views of the same breast.

Thesis (Ph.D.)-University of KwaZulu-Natal, 2006.Abstract available in PDF file