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Proceedings Paper

Development of a computational three-dimensional breast lesion phantom model
Author(s): Luis de Sisternes; Adam M. Zysk; Jovan G. Brankov; Miles N. Wernick
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Paper Abstract

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.

Paper Details

Date Published: 19 March 2010
PDF: 8 pages
Proc. SPIE 7622, Medical Imaging 2010: Physics of Medical Imaging, 762205 (19 March 2010); doi: 10.1117/12.844501
Show Author Affiliations
Luis de Sisternes, Medical Imaging Research Ctr., Illinois Institute of Technology (United States)
Adam M. Zysk, Medical Imaging Research Ctr., Illinois Institute of Technology (United States)
Jovan G. Brankov, Medical Imaging Research Ctr., Illinois Institute of Technology (United States)
Miles N. Wernick, Medical Imaging Research Ctr., Illinois Institute of Technology (United States)


Published in SPIE Proceedings Vol. 7622:
Medical Imaging 2010: Physics of Medical Imaging
Ehsan Samei; Norbert J. Pelc, Editor(s)

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