A finite element model to accurately predict real deformations of the breast

Palomar, Amaya Pérez del; Calvo, Begoña; Herrero, Javier; López, Josep M.; Doblaré, M.

doi:10.1016/j.medengphy.2008.01.005

Cited by 109 publications

(103 citation statements)

References 13 publications

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“…has been used extensively to model breast deformations and compression, including use for breast augmentation, 8,9 multimodality registration, [10][11][12][13][14][15][16][17][18] image-guided surgery, [19][20][21] and tumor tracking. 22,23 Several studies have tracked landmarks to within 5 mm.…”

Section: B Finite-element (Fe) Breast Modelsmentioning

confidence: 99%

“…15,24 Other studies have also included the effects of gravity. 9,21,22,25 Current state-of-the-art methods often optimize the initial breast position 16 and/or material parameters [16][17][18]20 through a FE-registration framework. Registrations, between breast MR images at different levels of compression, have also been used to provide boundary constraints to define the displacement of the region posterior to the compression plates in a corresponding FE model.…”

Section: B Finite-element (Fe) Breast Modelsmentioning

confidence: 99%

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Finite-element modeling of compression and gravity on a population of breast phantoms for multimodality imaging simulation

Sturgeon

Kiarashi

et al. 2016

Med. Phys.

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Purpose: The authors are developing a series of computational breast phantoms based on breast CT data for imaging research. In this work, the authors develop a program that will allow a user to alter the phantoms to simulate the effect of gravity and compression of the breast (craniocaudal or mediolateral oblique) making the phantoms applicable to multimodality imaging. Methods: This application utilizes a template finite-element (FE) breast model that can be applied to their presegmented voxelized breast phantoms. The FE model is automatically fit to the geometry of a given breast phantom, and the material properties of each element are set based on the segmented voxels contained within the element. The loading and boundary conditions, which include gravity, are then assigned based on a user-defined position and compression. The effect of applying these loads to the breast is computed using a multistage contact analysis in FEBio, a freely available and well-validated FE software package specifically designed for biomedical applications. The resulting deformation of the breast is then applied to a boundary mesh representation of the phantom that can be used for simulating medical images. An efficient script performs the above actions seamlessly. The user only needs to specify which voxelized breast phantom to use, the compressed thickness, and orientation of the breast. Results: The authors utilized their FE application to simulate compressed states of the breast indicative of mammography and tomosynthesis. Gravity and compression were simulated on example phantoms and used to generate mammograms in the craniocaudal or mediolateral oblique views. The simulated mammograms show a high degree of realism illustrating the utility of the FE method in simulating imaging data of repositioned and compressed breasts. Conclusions: The breast phantoms and the compression software can become a useful resource to the breast imaging research community. These phantoms can then be used to evaluate and compare imaging modalities that involve different positioning and compression of the breast. C 2016 American Association of Physicists in Medicine. [http://dx

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Section: B Finite-element (Fe) Breast Modelsmentioning

confidence: 99%

Section: B Finite-element (Fe) Breast Modelsmentioning

confidence: 99%

Finite-element modeling of compression and gravity on a population of breast phantoms for multimodality imaging simulation

Sturgeon

Kiarashi

et al. 2016

Med. Phys.

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“…The chosen model does not make any difference between both meshing types since the Mooney-Rivlin model provided similar results to the neo-Hookean model. Both models have proved their suitability to simulate the mammographic compression for real cases [Gefen and Dilmoney, 2007;del Palomar et al, 2008;Rajagopal et al, 2008;Chung et al, 2008;Shih et al, 2010].…”

Section: Discussionmentioning

confidence: 99%

“…The simulation of the mechanical behavior of the breast is becoming a very relevant field in the last years owing to its main role in an important number of biomedical applications related to surgical simulations [Tanner et al, 2006a;del Palomar et al, 2008;Hsu et al, 2011;Solves Llorens et al, 2012], surgical guidance [Carter et al, 2008;Han et al, 2011] or cancer diagnosis [Ruiter et al, 2006;Pathmanathan et al, 2008;Rajagopal et al, 2010]. These applications involve large deformations of the internal tissues of the breast such as mammographic compression or gravity loading deformation, which are usually modeled using the Finite Element Method (FEM).…”

Section: Characterization Of the Breast Tissuesmentioning

confidence: 99%

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A new approach for the in-vivo characterization of the biomechanical behavior of the breast and the cornea

Ángel¹,

Ángel²

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AgradecimientosLlegando al final del camino, uno se pregunta si ha valido la pena el tiempo y esfuerzo invertido y la respuesta es sí. Desde aquel primer día que empecé esta aventura, hasta el último de ellos, ésta ha sido, sin duda, la experiencia más enriquecedora de mi vida. Todo lo aprendido y todo vivido, son cosas que formarán parte de mí y que siempre recordaré con especial alegría.El trabajo que hay en estas páginas no es algo individual, pues debo dar las gracias a todas las personas que han influido en él en mayor o menor medida. Ha sido mucha la gente que he tenido el placer de conocer durante estos años y que no han dejado de sorprenderme día a día, empezando por mis dos directores de tesis, Carlos y María José, que han sido mis maestros durante estos años y con los que siempre estaré en deuda por todos los consejos y ayuda que me han aportado, no sólo en el ámbito académico. Pero, sobre todo, por la paciencia que han demostrado en muchas de las discusiones que hemos tenido.Muchísimas gracias a mis compañeros de trabajo con los que he compartido tantos momentos y anécdotas: Rober, Fer, Sandra, Eliseo, Juanjo, Pablo, Álex y, especialmente, a mi segundo de a bordo y amigo Fran, por la ayuda y consejos que han sido cruciales para que esta tesis saliera adelante.I would also like to thank Andrew Maidment and, specially, Predrag Bakic for his enthusiastic support this last year and during my stay at the University of Pennsylvania. I could have never thought in a better place to stay.Finalmente, gracias a mis padres Marina y Jesús y a mi hermano Óscar, además de todos los amigos, viejos y nuevos, que han visto como aquella decisión que hizo que me dedicara a la investigación ha dado por fin sus frutos. Una carrera investigadora que no sé a dónde me llevará a partir de ahora. Es un emocionante misterio, el no saber qué me deparará el futuro, que me intriga y estoy deseando descubrir.That quite definitely is the answer. I think the problem, to be quite honest with you, is that you've never actually known what the question is.Deep Thought, The Hitchhiker's Guide to the Galaxy Douglas Adams AbstractThe characterization of the mechanical behavior of soft living tissues is a big challenge in Biomechanics. The difficulty arises from both the access to the tissues and the needed manipulation in order to know their physical properties. Currently, the biomechanical characterization of organs is mainly performed by testing ex-vivo tissue samples or by means of indentation tests. In the first case, the obtained behavior does not represent the real response of the organ. In the second case, it is only a representation of the mechanical response of the indented areas. The purpose of the research reported in this thesis is the development of a methodology for the in-vivo characterization of the biomechanical behavior of two different organs: the breast and the cornea. The proposed methodology allows the in-vivo characterization of their biomechanical behavior using medical images.The research reported in this thesis desc...

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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

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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.

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A finite element model to accurately predict real deformations of the breast

Cited by 109 publications

References 13 publications

Finite-element modeling of compression and gravity on a population of breast phantoms for multimodality imaging simulation

Finite-element modeling of compression and gravity on a population of breast phantoms for multimodality imaging simulation

A new approach for the in-vivo characterization of the biomechanical behavior of the breast and the cornea

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

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