The reported results in
Figures 4 -
6 show that for any breast model and any target/filter combination, more and less the curves have a similar behavior. MGD decreases as the breast thickness increases from 3 to 8 cm for all percentages of glandularity, as well as with increasing glandularity g, MGD increases too. Because glandular tissue of the breast is sensitive to radiation, so this part absorbs X-ray in mammography exposure and we see in figures 4 to 6 that g and MGD have a direct relationship i.e. with increasing g, MGD increases too and vice versa. In addition, with increasing breast thickness, breast volume increases and the portion of absorbed X-ray in the whole breast reduces in a constant value of g. Therefore, MGD has an inverse relationship with breast thickness.
According to
Figure 7, in general, our results are consistent with those of Boone et al. for 100% glandular, but our findings for MGD values are higher than the results of Boone et al. (
16). Differences between the MGD values derived in our work and the findings of Boone et al. (
16) result from different MGD calculation techniques. Because of the exact transport of photons and electrons in MCNPX code, it is a precise code and it can be said that our results are more accurate than those of Boone et al. For W/Ag and W/Rh combination, by increasing phantom thickness, the discrepancy between the two studies increases, so that for 3 cm phantom thickness, the results for two different combinations are nearly equal and for 8 cm thickness, the discrepancy increases.
According to the curves of
Figure 8, the MGD values for the combination of W/Rh in 30%, 50%, 70% and 100% glandularity are always at the lowest rate, whereas those values for the combination of W/Ag are always at the highest rate.
As it is well known, HVL depends on kVp, type of anode/filter which is calculated with regard to the thickness and composition of the breast. Since in mammography systems, the filter does not change, HVL is considered via kVp in MGD calculations. We changed the tube voltage in our MCNP calculations. The obtained results from MCNPX code is normalized per one particle of source. Therefore, mAs does not enter in our MGD calculations because calculate dose is done for one X-ray particle. We can multiply the dose by N (photon numbers) to change the normalized MGD to total dose in the breast. MCNPX calculation is independent of X-ray intensity and has the ability to change to other related quantities.
About the limitation of this study, we can say that the individual’s age and race that affect the percentage of fat and glandular tissue in the breast have not been considered. Moreover, for all breast thicknesses above 8 cm and less than 3 cm, all useful voltages in mammography X-ray tubes and percentage of glandular tissues have not been calculated. Also, we considered the skin thickness fixed and the shape of compact breast as fully semi-cylinder, which in fact may not be a complete semi-cylinder.
In addition, only three anode/filter combinations are examined without considering the effect of filter thickness on different mammography systems. Since the absorbed energy within the breast tissue at usual thicknesses of the breast from 3 to 8 cm and glandular percentages of 10 to 100% and different voltages used in mammography had not already been investigated by using MCNPX code, we found it necessary to calculate the value of MGD in a wide range of mammography tube voltages and various glandular percentages and thicknesses of the breast.
In conclusion, the results show that tissue composition, breast size and anode/filter combination do affect MGD values. Our results are consistent with current published works. Moreover, in comparison with other published data, our findings show that among the new anode/filter combinations W/Ag, W/Rh, and Rh/Al, for different compressed breast thicknesses and different breast glandularity ranging, W/Rh anode/filter is the best choice to deliver a lower dose.
In addition, we aim to calculate CNR for these anode/filter combinations and then by considering figure of merit (FOM), we will conclude that which combination will be the best choice for delivering the lowest dose against the highest image contrast in digital mammography systems.