4.3 Article

A biomechanical breast modelevaluated with respect to MRI data collected in three different positions

期刊

CLINICAL BIOMECHANICS
卷 60, 期 -, 页码 191-199

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.clinbiomech.2018.10.020

关键词

Breast; Breast support matrix; Finite elements; Hyper-elasticity; Stress-free geometry; Optimization

资金

  1. ANRT, CIFRE [2014/1357]

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Background: Mammography is a specific type of breast imaging that uses low-dose X-rays to detect cancer in early stage. During the exam, the women breast is compressed between two plates in order to even out the breast thickness and to spread out the soft tissues. This technique improves exam quality but can be uncomfortable for the patient. The perceived discomfort can be assessed by the means of a breast biomechanical model. Alternative breast compression techniques may be computationally investigated trough finite elements simulations. Methods: The aim of this work is to develop and evaluate a new biomechanical Finite Element (FE) breast model. The complex breast anatomy is considered including adipose and glandular tissues, muscle, skin, suspensory ligaments and pectoral fascias. Material hyper-elasticity is modeled using the Neo-Hookean material models. The stress-free breast geometry and subject-specific constitutive models are derived using tissues deformations measurements from MR images. Findings: The breast geometry in three breast configurations were computed using the breast stress -free geometry together with the estimated set of equivalent Young's modulus (E-bbrei(T) = 0.3 k(bbreas)(t) = 0.2 kPa, E-skidn = 4 kPa, E-fasic = 120 kPa). The Hausdorff distance between estimated and measured breast geometries for prone, supine and supine tilted configurations is equal to 2.17 mm, 1.72 mm and 5.90 mm respectively. Interpretation: A subject-specific breast model allows a better characterization of breast mechanics. However, the model presents some limitations when estimating the supine tilted breast configuration. The results show clearly the difficulties to characterize soft tissues mechanics at large strain ranges with Neo-Hookean material models.

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