Optimized generation of high resolution breast anthropomorphic software phantoms

Pokrajac, Dragoljub; Maidment, Andrew D. A.; Bakić, Predrag R.

doi:10.1118/1.3697523

Cited by 94 publications

(60 citation statements)

References 37 publications

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“…8 could shift upwards). Based on a recently updated method for the generation of Bakic software phantoms, 55 it may be possible to efficiently simulate breast anatomy with smaller voxel sizes and investigate microcalcification detection within our framework.…”

Section: Discussionmentioning

confidence: 99%

A virtual trial framework for quantifying the detectability of masses in breast tomosynthesis projection data

et al. 2013

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Purpose: Digital breast tomosynthesis (DBT) is a promising breast cancer screening tool that has already begun making inroads into clinical practice. However, there is ongoing debate over how to quantitatively evaluate and optimize these systems, because different definitions of image quality can lead to different optimal design strategies. Powerful and accurate tools are desired to extend our understanding of DBT system optimization and validate published design principles. Methods: The authors developed a virtual trial framework for task-specific DBT assessment that uses digital phantoms, open-source x-ray transport codes, and a projection-space, spatial-domain observer model for quantitative system evaluation. The authors considered evaluation of reconstruction algorithms as a separate problem and focused on the information content in the raw, unfiltered projection images. Specifically, the authors investigated the effects of scan angle and number of angular projections on detectability of a small (3 mm diameter) signal embedded in randomly-varying anatomical backgrounds. Detectability was measured by the area under the receiver-operating characteristic curve (AUC). Experiments were repeated for three test cases where the detectability-limiting factor was anatomical variability, quantum noise, or electronic noise. The authors also juxtaposed the virtual trial framework with other published studies to illustrate its advantages and disadvantages. Results: The large number of variables in a virtual DBT study make it difficult to directly compare different authors' results, so each result must be interpreted within the context of the specific virtual trial framework. The following results apply to 25% density phantoms with 5.15 cm compressed thickness and 500 μm 3 voxels (larger 500 μm 2 detector pixels were used to avoid voxel-edge artifacts): 1. For raw, unfiltered projection images in the anatomical-variability-limited regime, AUC appeared to remain constant or increase slightly with scan angle. 2. In the same regime, when the authors fixed the scan angle, AUC increased asymptotically with the number of projections. The threshold number of projections for asymptotic AUC performance depended on the scan angle. In the quantum-and electronic-noise dominant regimes, AUC behaviors as a function of scan angle and number of projections sometimes differed from the anatomy-limited regime. For example, with a fixed scan angle, AUC generally decreased with the number of projections in the electronic-noise dominant regime. These results are intended to demonstrate the capabilities of the virtual trial framework, not to be used as optimization rules for DBT. Conclusions:The authors have demonstrated a novel simulation framework and tools for evaluating DBT systems in an objective, task-specific manner. This framework facilitates further investigation of image quality tradeoffs in DBT.

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Section: Discussionmentioning

confidence: 99%

A virtual trial framework for quantifying the detectability of masses in breast tomosynthesis projection data

et al. 2013

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“…To test the approach a digital mammography phantom [17], mimicking compressed female breast of a volume of approximately 450 ml, was simulated in the same setup configuration. Four different tissue types are contained: skin, adipose tissue, dense fibroglandular tissue and Cooper's ligaments.…”

Section: Methodsmentioning

confidence: 99%

Fast one-dimensional wave-front propagation for x-ray differential phase-contrast imaging

Wolf¹,

Malecki²,

Sperl³

et al. 2014

Biomed. Opt. Express

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Abstract:Numerical wave-optical simulations of X-ray differential phase-contrast imaging using grating interferometry require the oversampling of gratings and object structures in the range of few micrometers. Consequently, fields of view of few millimeters already use large amounts of a computer's main memory to store the propagating wave front, limiting the scope of the investigations to only small-scale problems. In this study, we apply an approximation to the Fresnel-Kirchhoff diffraction theory to overcome these restrictions by dividing the two-dimensional wave front up into 1D lines, which are processed separately. The approach enables simulations with samples of clinically relevant dimensions by significantly reducing the memory footprint and the execution time and, thus, allows the qualitative comparison of different setup configurations. We analyze advantages as well as limitations and present the simulation of a virtual mammography phantom of several centimeters of size. Reiser, and F. Bamberg, "Assessment of grating-based X-ray phase-contrast CT for differentiation of invasive ductal carcinoma and ductal carcinoma in situ in an experimental ex vivo set-up." Eur. Radiol. 2, 381-387 (2012). 9. F. Pfeiffer, M. Bech, O. Bunk, P. Kraft, E. F. Eikenberry, C. Bronnimann, C. Grünzweig, and C. David, "Hard-xray dark-field imaging using a grating interferometer," Nat. Mater. 7, 134-137 (2008

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“…The generation of the 3D breast anatomy of the phantom was carried out using the computer anthropomorphic breast phantoms developed at the University of Pennsylvania (UPenn) described in Section 4.3 [Bakic et al, 20024.3 [Bakic et al, , 2011Pokrajac et al, 2012].…”

Section: Methodsmentioning

confidence: 99%

“…The breast phantoms used in this work were proposed by Pokrajac et al, 2012. They are formed by three materials: fat tissue, glandular tissue and skin. The effect of the Cooper's ligaments was modeled by the anisotropy of the proposed biomechanical model as described in Section 4.5.1.…”

Section: Software Phantom Generationmentioning

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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Optimized generation of high resolution breast anthropomorphic software phantoms

Cited by 94 publications

References 37 publications

A virtual trial framework for quantifying the detectability of masses in breast tomosynthesis projection data

A virtual trial framework for quantifying the detectability of masses in breast tomosynthesis projection data

Fast one-dimensional wave-front propagation for x-ray differential phase-contrast imaging

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

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