Dipartimento Di Chimica E Farmacia, Università Di Sassari, Sassari, Italy.
I.N.F.N. Sezione Di Cagliari, Cagliari, Italy.
Sci Rep. 2020 Oct 15;10(1):17430. doi: 10.1038/s41598-020-74607-7.
Breast Computed Tomography (bCT) is a three-dimensional imaging technique that is raising interest among radiologists as a viable alternative to mammographic planar imaging. In X-rays imaging it would be desirable to maximize the capability of discriminating different tissues, described by the Contrast to Noise Ratio (CNR), while minimizing the dose (i.e. the radiological risk). Both dose and CNR are functions of the X-ray energy. This work aims at experimentally investigating the optimal energy that, at fixed dose, maximizes the CNR between glandular and adipose tissues. Acquisitions of both tissue-equivalent phantoms and actual breast specimens have been performed with the bCT system implemented within the Syrma-3D collaboration at the Syrmep beamline of the Elettra synchrotron (Trieste). The experimental data have been also compared with analytical simulations and the results are in agreement. The CNR is maximized at energies around 26-28 keV. These results are in line with the outcomes of a previously presented simulation study which determined an optimal energy of 28 keV for a large set of breast phantoms with different diameters and glandular fractions. Finally, a study on photon starvation has been carried out to investigate how far the dose can be reduced still having suitable images for diagnostics.
乳腺计算机断层扫描(bCT)是一种三维成像技术,正在引起放射科医生的兴趣,作为乳腺平面成像的可行替代方法。在 X 射线成像中,最好是在最小化剂量(即放射风险)的同时最大化区分不同组织的能力,这由对比噪声比(CNR)来描述。剂量和 CNR 都是 X 射线能量的函数。本工作旨在实验研究在固定剂量下,使腺体和脂肪组织之间的 CNR 最大化的最佳能量。使用在 Syrma-3D 合作框架内在 Elettra 同步加速器的 Syrmep 光束线上实现的 bCT 系统,对组织等效体模和实际乳房标本进行了采集。实验数据还与分析模拟进行了比较,结果是一致的。CNR 在 26-28 keV 左右达到最大值。这些结果与之前提出的模拟研究结果一致,该研究确定了一组不同直径和腺体分数的乳房体模的最佳能量为 28 keV。最后,进行了光子饥饿研究,以调查在仍能获得适合诊断的图像的情况下,剂量可以降低多少。