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18 March 2010 Development of a computational three-dimensional breast lesion phantom model
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We have developed a realistic three-dimensional breast lesion phantom that can be computationally embedded in physically-acquired background images of normal breast tissue. In order to develop new imaging techniques aimed at the detection and diagnosis of breast lesions, a large number of lesions with varying physical characteristics must be tested, especially if physical characteristics must be correlated with observed image features. The new tool presented here, which incorporates three-dimensional tumor features, is potentially useful for testing imaging techniques such as CT, tomosynthesis, and phase-sensitive X-ray imaging, as these require three-dimensional tissue models. The simulated lesions improve significantly upon current methods, which lack the complexity and physical attributes of real tumors, by incorporating a stochastic Gaussian random sphere model to simulate the central tumor mass and calcifications, and an iterative fractal branching algorithm to model the complex spicula present in many tumors. Results show that userdefined lesions with realistic features can be computationally embedded in mammographic background images and that a wide range of physical properties can be modeled.
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Luis de Sisternes, Adam M. Zysk, Jovan G. Brankov, and Miles N. Wernick "Development of a computational three-dimensional breast lesion phantom model", Proc. SPIE 7622, Medical Imaging 2010: Physics of Medical Imaging, 762205 (18 March 2010);

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