Development and characterization of an anthropomorphic breast software phantom based upon region-growing algorithm

Bakić, Predrag R.; Zhang, Cuiping; Maidment, Andrew D. A.

doi:10.1118/1.3590357

Cited by 105 publications

(112 citation statements)

References 55 publications

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“…[1][2][3][4] They provide a practical means to perform studies that would otherwise be difficult or impossible with human subjects due to the high cost or risks to patient safety. For these phantoms to be truly useful in optimizing and comparing different modalities, it is essential to be able to simulate the breast in the various positions and states of compression that the modalities require.…”

Section: A Breast Phantomsmentioning

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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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: A Breast Phantomsmentioning

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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“…We used the software breast phantoms developed by Bakic et al [5]. These phantoms include all the primary breast tissues such as adipose tissue, fibroglandular tissue, Cooper's ligaments and skin.…”

Section: Modeling Toolsmentioning

confidence: 99%

A Modelling Framework for Evaluation of 2D-Mammography and Breast Tomosynthesis Systems

et al. 2012

Self Cite

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Abstract. Planar 2D X-ray mammography is the most common screening technique used for breast cancer detection. Digital breast tomosynthesis (DBT) is a new and emerging technology that overcomes some of the limitations of conventional planar imaging. However, it is important to understand the impact of these two modalities on cancer detection rates and patient recall. Since it is difficult to adequately evaluate different modalities clinically, a collection of modeling tools is introduced in this paper that can be used to emulate the image acquisition process for both modalities. In this paper, we discuss image simulation chains that can be used for the evaluation of 2D-mammography and DBT systems in terms of both technical factors and observer studies.

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“…Software phantoms can be applied to know the feasibility of a wide range of studies as: simulation of multimodality imaging systems [Diekmann et al, 2009;Bakic et al, 2011;Chen et al, 2011;Chui et al, 2012], evaluation of breast dosimetry [Dance et al, 2005;Zhou et al, 2006;Ma et al, 2009;Sechopoulos et al, 2012], or evaluation of registration techniques [Richard et al, 2006].…”

Section: Software Breast Phantomsmentioning

confidence: 99%

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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Development and characterization of an anthropomorphic breast software phantom based upon region-growing algorithm

Abstract: A new algorithm for computer simulation of breast anatomy has been proposed that improved the realism of the anthropomorphic software breast phantom.

Cited by 105 publications

References 55 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 Modelling Framework for Evaluation of 2D-Mammography and Breast Tomosynthesis Systems

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

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