Effect of the glandular composition on digital breast tomosynthesis image quality and dose optimisation

In the image quality assessment for digital breast tomosynthesis (DBT), a breast phantom with an average percentage of 50 % glandular tissue is seldom used, which may not be representative of the breast tissue composition of the women undergoing such examination. This work aims at studying the effec...

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Bibliographic Details
Published in:Radiation protection dosimetry 2015-07, Vol.165 (1-4), p.337-341
Main Authors: Marques, T, Ribeiro, A, Di Maria, S, Belchior, A, Cardoso, J, Matela, N, Oliveira, N, Janeiro, L, Almeida, P, Vaz, P
Format: Article
Language:English
Subjects:
Algorithms
Breast - pathology
Calibration
Computer Simulation
Equipment Design
Female
Humans
Image Processing, Computer-Assisted
Mammography - methods
Models, Theoretical
Monte Carlo Method
Portugal
Radiographic Image Enhancement - methods
Radiographic Image Interpretation, Computer-Assisted
Signal-To-Noise Ratio
Software
X-Rays
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Summary:In the image quality assessment for digital breast tomosynthesis (DBT), a breast phantom with an average percentage of 50 % glandular tissue is seldom used, which may not be representative of the breast tissue composition of the women undergoing such examination. This work aims at studying the effect of the glandular composition of the breast on the image quality taking into consideration different sizes of lesions. Monte Carlo simulations were performed using the state-of-the-art computer program PENELOPE to validate the image acquisition system of the DBT equipment as well as to calculate the mean glandular dose for each projection image and for different breast compositions. The integrated PENELOPE imaging tool (PenEasy) was used to calculate, in mammography, for each clinical detection task the X-ray energy that maximises the figure of merit. All the 2D cranial-caudal projections for DBT were simulated and then underwent the reconstruction process applying the Simultaneous Algebraic Reconstruction Technique. Finally, through signal-to-noise ratio analysis, the image quality in DBT was assessed.
ISSN:0144-8420
1742-3406
DOI:10.1093/rpd/ncv124