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Quantitative evaluation of fibroglandular tissue for estimation of tissue-differentiated absorbed energy in breast tomosynthesis

Abstract : In this research project the main goals were a) to implement a method for the computation of the volumetric breast density (VBD), and b) to propose an improved quantity for the assessment of individual radiation-induced risk, in particular during mammography, together with a method to quantify it. The breast density is known as a breast cancer risk factor. The objective quantification of the volumetric breast density was developed, based on already published methods, and improved. The method was implemented for two mammography systems. It is based on the calibration of the mammography system acquisition chain with breast equivalent phantoms and computes a breast density map. Our most important contribution resides in a new validation method applicable to any VBD computation, consisting in comparing its results with the VBD obtained from a thorax CT examination for the same patient. This validation method was applied to our VBD computation. We found an average deviation between mammography and CT of less than 10%. Our results are comparable to the state-of-the-art results for other validation methods. For the individual radiation risk, we proposed to replace the average glandular dose by the imparted energy, which depends on the quantity and distribution of the glandular tissue, which is the tissue at risk. The volumetric imparted energy is computed from Monte Carlo simulations. The VBD, computed for the 0° projection of tomosynthesis exams, helps us to localize the glandular tissue and to attribute the imparted energy to the different tissues. A proposition was implemented for geometric phantoms, a textured phantom and a patient case.
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Submitted on : Tuesday, November 15, 2016 - 5:11:34 PM
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  • HAL Id : tel-01397370, version 1



Nausikaa Geeraert. Quantitative evaluation of fibroglandular tissue for estimation of tissue-differentiated absorbed energy in breast tomosynthesis. Signal and Image processing. Télécom ParisTech; Katholieke universiteit te Leuven (1970-..), 2014. English. ⟨NNT : 2014ENST0060⟩. ⟨tel-01397370⟩



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