Simulation of tomosynthesis images based on an anthropomorphic software breast tissue phantom

Nicole V. Ruiter; Cuiping Zhang; Predrag R. Bakic; Ann-Katherine Carton; Johnny Kuo; Andrew D. A. Maidment

doi:10.1117/12.770372

17 March 2008 Simulation of tomosynthesis images based on an anthropomorphic software breast tissue phantom

Nicole V. Ruiter, Cuiping Zhang, Predrag R. Bakic, Ann-Katherine Carton, Johnny Kuo, Andrew D. A. Maidment

Proceedings Volume 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling; 69182I (2008) https://doi.org/10.1117/12.770372
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

The aim of this work is to provide a simulation framework for generation of synthetic tomosynthesis images to be used for evaluation of future developments in the field of tomosynthesis. An anthropomorphic software tissue phantom was previously used in a number of applications for evaluation of acquisition modalities and image post-processing algorithms for mammograms. This software phantom has been extended for similar use with tomosynthesis. The new features of the simulation framework include a finite element deformation model to obtain realistic mammographic deformation and projection simulation for a variety of tomosynthesis geometries. The resulting projections are provided in DICOM format to be applicable for clinically applied reconstruction algorithms. Examples of simulations using parameters of a currently applied clinical setup are presented. The overall simulation model is generic, allowing multiple degrees of freedom to cover anatomical variety in the amount of glandular tissue, degrees of compression, material models for breast tissues, and tomosynthesis geometries.

Citation Download Citation

Nicole V. Ruiter, Cuiping Zhang, Predrag R. Bakic, Ann-Katherine Carton, Johnny Kuo, and Andrew D. A. Maidment "Simulation of tomosynthesis images based on an anthropomorphic software breast tissue phantom", Proc. SPIE 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling, 69182I (17 March 2008); https://doi.org/10.1117/12.770372

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