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- W2135432488 abstract "AbstractRecently, it has been indicated that x-ray coherent scatter from biological tissues can be used to access signature of tissues. It has been found that this effect is important to evaluate breast cancer detection in its early stages. To measure this signature we need an x-ray coherent scattering system capable of measuring coherent information scattered in various low angles from different tissues. Unfortunately, setting up and optimizing this system for different applications (eg various tissue types) are tedious and time consuming. It is essential to have a measure of merit for evaluation of the system efficiency for the measurement of various biological tissue types. To do this evaluation, one needs to verify the response of the system to some normal tissues and comparing the results with known signature measurements. The best way to calculate these normal tissue signatures in daily system check-up is to use a Monte Carlo (MC) simulation algorithm. However, there are lack of molecular interference information for coherent (Rayleigh) scattering with this simulation method. We proposed to obtain these interference factors using combination of MC containing independent atomic model (IAM), and experimental methods using Energy Dispersive X- Ray Diffraction (EDXRD). The simulation and experimental data were used to obtain a tabulation of molecular interference functions for adipose and glandular components in breast tissues, and then fed them into MC code for the routine simulation purpose.KeywordsForm FactorBreast TissueMonte CarloMonte Carlo CodeAtomic Form FactorThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
- W2135432488 created "2016-06-24" @default.
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- W2135432488 date "2009-01-01" @default.
- W2135432488 modified "2023-09-23" @default.
- W2135432488 title "Obtaining Molecular Interference Functions of X-Ray Coherent Scattering for Breast Tissues by Combination of Simulation and Experimental Methods" @default.
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- W2135432488 doi "https://doi.org/10.1007/978-3-642-03882-2_461" @default.
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