Modelling Prone to Supine Breast Deformation Under Gravity Loading Using Heterogeneous Finite Element Models

Gamage, Thiranja P. Babarenda; Boyes, Richard G.; Rajagopal, Vijay; Nielsen, Poul M. F.; Nash, Martyn P.

doi:10.1007/978-1-4614-3172-5_5

Cited by 14 publications

(7 citation statements)

References 17 publications

(18 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Despite these good results, the magnitude of the displacements seems low compared with actual displacements in a real breast [28]. This is likely due to the simplistic boundary conditions imposed in the model (fixing the nodes in contact with the chest wall).…”

Section: Discussioncontrasting

confidence: 51%

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

Calvo-Gallego

Martínez-Reina

Domı́nguez

2015

Numer Methods Biomed Eng

View full text Add to dashboard Cite

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.

show abstract

Section: Discussioncontrasting

confidence: 51%

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

Calvo-Gallego

Martínez-Reina

Domı́nguez

2015

Numer Methods Biomed Eng

View full text Add to dashboard Cite

show abstract

“…During the last decades, several breast biomechanical models were proposed ; however, only a small part of them 16,15,26 were evaluated with respect to the real tissues deformations. Gamage and colleagues 15 proposed a finite element model capable to estimate the supine breast configuration from the prone one. To assess the quality of the fit, the root-mean-squared error (RMSE) from point to surface distances was computed.…”

Section: Resultsmentioning

confidence: 99%

“…Applications such as image guided surgery or preoperative planning imply a wider range of deformations. Therefore biomechanical breast models capable of estimating breast deformation between supine and prone positions (named multi loading simulations) were proposed [15][16][17][18][19] . Considering the involved large deformation, these models need to be more accurate with respect to mechanical and anatomical breast properties.…”

Section: Related Workmentioning

confidence: 99%

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

Mîra¹,

Carton²,

Muller³

2018

Clinical Biomechanics

View full text Add to dashboard Cite

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 ( 0.3 , 0.2 , 4, 120). 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.

show abstract

“…By assigning reasonable tissue property and boundary conditions, finite element analysis can provide realistic deformation predictions. Biomechanical models have been used to simulate the deformation of the lung [ 11 ] and the breast such as compression in X-ray mammography [ 12 , 13 ], and behavior under gravity from prone to supine positions [ 5 , 14 , 15 ]. Han et al developed a homogeneous model to predict large breast deformations from the prone position to supine position [ 15 ], but the mechanical property variance has not been considered.…”

Section: Introductionmentioning

confidence: 99%

Multimodal Patient-Specific Registration for Breast Imaging Using Biomechanical Modeling with Reference to AI Evaluation of Breast Tumor Change

Xue

Tang

Lai

et al. 2021

Life

View full text Add to dashboard Cite

Background: The strategy to combat the problem associated with large deformations in the breast due to the difference in the medical imaging of patient posture plays a vital role in multimodal medical image registration with artificial intelligence (AI) initiatives. How to build a breast biomechanical model simulating the large-scale deformation of soft tissue remains a challenge but is highly desirable. Methods: This study proposed a hybrid individual-specific registration model of the breast combining finite element analysis, property optimization, and affine transformation to register breast images. During the registration process, the mechanical properties of the breast tissues were individually assigned using an optimization process, which allowed the model to become patient specific. Evaluation and results: The proposed method has been extensively tested on two datasets collected from two independent institutions, one from America and another from Hong Kong. Conclusions: Our method can accurately predict the deformation of breasts from the supine to prone position for both the Hong Kong and American samples, with a small target registration error of lesions.

show abstract

Modelling Prone to Supine Breast Deformation Under Gravity Loading Using Heterogeneous Finite Element Models

Cited by 14 publications

References 17 publications

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

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

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

Multimodal Patient-Specific Registration for Breast Imaging Using Biomechanical Modeling with Reference to AI Evaluation of Breast Tumor Change

Contact Info

Product

Resources

About