Model-based registration of X-ray mammograms and mr images of the female breast

Ruiter, Nicole V.; Stotzka, Rainer; Müller, Tim; Gemmeke, H.

doi:10.1109/nssmic.2004.1466392

Cited by 14 publications

(25 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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%

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

Sturgeon

Kiarashi

et al. 2016

Med. Phys.

View full text Add to dashboard Cite

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

show abstract

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.

View full text Add to dashboard Cite

show abstract

“…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%

“…Additionally, the nodes already in contact with the fixed plate were restricted in all directions in order to avoid rigid body motion [Ruiter et al, 2006]. A sliding contact interaction without friction was defined between the breast surface and both plates in order to facilitate the FE simulation.…”

Section: Simulation Of the Mammographic Compressionmentioning

confidence: 99%

“…Roose et al, 2006 used an elastic model to simulate the breast behavior, however, for large deformations, the soft tissue presents hyperelastic behavior . The work in [Ruiter et al, 2006] compared different elastic and hyperelastic models in order to simulate the mammographic compression, they concluded that the anisotropy of the breast due to the internal tissue distribution must be considered for simulating this compression. Additionally, simplifying the breast model without considering the internal tissues may lead to unrealistic simulations and that approximation could cause overestimation on the X-ray dose with the resultant overestimation of the risk for the patient [Sechopoulos et al, 2012].…”

Section: Biomechanical Modeling Of the Breast Tissuesmentioning

confidence: 99%

“…On the other hand, even though most biomechanical models of the breast do not include the anisotropy of the Cooper's ligaments due to the difficulty of knowing their location, some sensitivity studies consider that their influence is significant [Tanner et al, 2006b;Ruiter et al, 2006;Gefen and Dilmoney, 2007]. Therefore, the effect of Cooper's ligaments must be taken into account by the model.…”

Section: Biomechanical Modeling Of the Breast Tissuesmentioning

confidence: 99%

See 2 more Smart Citations

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

Ángel¹,

Ángel²

View full text Add to dashboard Cite

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...

show abstract

A step‐by‐step review on patient‐specific biomechanical finite element models for breast MRI to x‐ray mammography registration

et al. 2017

View full text Add to dashboard Cite

Breast magnetic resonance imaging (MRI) and x-ray mammography are two image modalities widely used for the early detection and diagnosis of breast diseases in women. The combination of these modalities leads to a more accurate diagnosis and treatment of breast diseases. The aim of this paper is to review the registration between breast MRI and x-ray mammographic images using patient-specific finite element-based biomechanical models. Specifically, a biomechanical model is obtained from the patient's MRI volume and is subsequently used to mimic the mammographic acquisition. Due to the different patient positioning and movement restrictions applied in each image modality, the finite element analysis provides a realistic physics-based approach to perform the breast deformation. In contrast with other reviews, we do not only expose the overall process of compression and registration but we also include main ideas, describe challenges, and provide an overview of the used software in each step of the process. Extracting an accurate description from the MR images and preserving the stability during the finite element analysis require an accurate knowledge about the algorithms used, as well as the software and underlying physics. The wide perspective offered makes the paper suitable not only for expert researchers but also for graduate students and clinicians. We also include several medical applications in the paper, with the aim to fill the gap between the engineering and clinical performance.

show abstract

Model-based registration of X-ray mammograms and mr images of the female breast

Cited by 14 publications

References 11 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 step‐by‐step review on patient‐specific biomechanical finite element models for breast MRI to x‐ray mammography registration

Contact Info

Product

Resources

About