Algorithmic scatter correction in dual‐energy digital mammography

Abstract

When applying the proposed algorithmic scatter correction to images, the resultant background DE calcification signals can be reduced and the CNR of calcifications can be improved. This method has similar or even better performance than pinhole-array interpolation method in scatter correction for DEDM; moreover, this method is convenient and requires no extra exposure to the patient. Although the proposed scatter correction method is effective, it is validated by a 5-cm-thick phantom with calcifications and homogeneous background. The method should be tested on structured backgrounds to more accurately gauge effectiveness.

A novel approach to background subtraction in contrast‐enhanced dual‐energy digital mammography with commercially available mammography devices: Polychromaticity correction

“…2.A, that the beams are filtered in such a way to resemble gaussian distributions. Having that in mind, the error caused by the second order truncation can be parameterized by the absolute value of the relative difference r between truncated expression (29) and full expression (28), evaluated at the gaussian tails E tail =Ē 0 ± ∆ 0 ,…”

“…On the other hand, the latter is related to the effectiveness of the subtraction procedure, i.e., the permanence of residual fluctuations within the background regions of the subtracted image. 11,27,28 The aim of the present study is to investigate the use of a mathematical tool that overcomes the monochromatic approximation, thus providing a CEDM technique with higher detection power. The study will be divided into two parts: the present one is focused on a more precise estimate of the actual density of contrast medium, while a companion paper is going to be focused on the analysis of noise reduction.…”

A scatter correction method for dual-energy digital mammography: Monte Carlo simulation

“…(10). If the inappropriate initial scatter values are used such as reference [16], Eq. (10) may be fall into local optimal solution or directly not convergence.…”

“…In breast cancer, calcifications are sparsely distributed [16]. That is to say, almost all the pixels are zero calcification pixels in LE and HE image.…”

“…Chen et al present an algorithm without extra exposure, but this method easily falls into local optimal solutions and it's a numerical instability method because of empirical choice of initial scatter values. Besides, the uniform sampling pixels are maybe calcification pixels lead to constraint errors of computational formulae [16].…”