19 March 2013 Energy dispersive X-ray diffraction computed tomography of breast-simulating phantoms and a tissue sample
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Proceedings Volume 8668, Medical Imaging 2013: Physics of Medical Imaging; 86684G (2013) https://doi.org/10.1117/12.2007710
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Breast lesions and normal tissue have different characteristics of density and molecular arrangement that affect their diffraction patterns. X-ray diffraction can be used to determine the spatial structure of such tissues at the atomic and molecular level and Energy Dispersive X-Ray Diffraction Computed Tomography (EDXRDCT) can be used to produce 2-dimensional images of cross sections of the samples. The purpose of this work is to use an EDXRDCT system to find the limiting visibility for details that simulate breast lesions. Results are presented for EDXRDCT images of samples of different materials simulating breast tissue contrast and shapes. For simple circular details, the contrast between details and background in the images was measured with the goal of simulating the contrast between real breast tissue components. The limiting visible diameter was measured as a function of detail diameter for different combinations of scanning and geometrical parameters. Images of more complex test objects were assessed in terms of both contrast and accuracy of shape reproduction, evaluating the feasibility of using shape analysis as an additional parameter for lesion identification. The optimum combination of parameters are intended to be applied to the scanning of waxed breast tissue blocks.
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Shyma M. Alkhateeb, Shyma M. Alkhateeb, Mohamed H. Abdelkader, Mohamed H. Abdelkader, David A. Bradley, David A. Bradley, Paul Seller, Paul Seller, Matthew C. Veale, Matthew C. Veale, Matt D. Wilson, Matt D. Wilson, Silvia Pani, Silvia Pani, } "Energy dispersive X-ray diffraction computed tomography of breast-simulating phantoms and a tissue sample", Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86684G (19 March 2013); doi: 10.1117/12.2007710; https://doi.org/10.1117/12.2007710
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