使用三种辐射剂量的真实数据进行数字乳腺断层合成成像的迭代重建算法。
An iterative reconstruction algorithm for digital breast tomosynthesis imaging using real data at three radiation doses.
机构信息
Department of Medicine, Division of Engineering in Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA.
Istanbul Technical University, Faculty of Electrical and Electronics Engineering, Institute of Informatics, Istanbul, Turkey.
出版信息
J Xray Sci Technol. 2018;26(3):347-360. doi: 10.3233/XST-17320.
BACKGROUND
Iterative image reconstruction in Digital Breast Tomosynthesis (DBT) is a developing modality that produces three-dimensional (3D) reconstructed images of a breast to detect suspicious lesions. Algebraic reconstruction technique (ART), one of the iterative image reconstruction methods, was applied to reconstruct 3D data of breast and is becoming as one alternative method for the conventional image reconstruction techniques such as filtered back projection (FBP) in DBT imaging.
OBJECTIVE
A new majorization-minimization (MM) algorithm was presented for TV denoising of signals. In the field of DBT, however, the algorithm has not yet been applied. In this study, we proposed a new method of "ART+TV3D+MM," which applies (MM) algorithm to the images reconstructed by ART+TV3D for different imaging dose levels to investigate a possible reduction of radiation dose.
METHODS
Projections of a real breast phantom (CD Pasmam 1054) were acquired with a Siemens MAMMOMAT DBT system. The proposed new method was repeated and tested with 3 different radiation dose levels. The quality of the images reconstructed using the proposed new method were compared with those generated by the commonly used FBP method using both qualitative and quantitative assessments.
RESULTS
The new method showed superior results in terms of visual assessment, contrast to noise ratios (CNR), full width at half maximum (FWHM) values and 1D profiles compared with FBP of the Siemens MAMMOMAT. CNR values were evaluated for two different region of interests (ROIs). For instance, CNR values of ROI-2 of FBP and of new method were 1.670 and 1.978 at 100 mAs, respectively. Moreover, while CNR value of ROI-1 of FBP at 100 mAs was 0.955, CNR value of ROI-1 of using new method at 100 mAs was 48.163. FWHM values for FBP and the new method were 2.328 and 1.765 at 56 mAs, 2.032 and 1.661 at 100 mAs, and 2.111 and 1.736 at 199 mAs, respectively.
CONCLUSIONS
The results support that using the new method of "ART+TV3D+MM" could help decrease the radiation dose level, which is one of the most critical limitations of DBT imaging.
背景
数字乳腺断层摄影术（DBT）中的迭代图像重建是一种新兴的技术，它可以生成乳房的三维（3D）重建图像，以检测可疑病变。代数重建技术（ART）是一种迭代图像重建方法，已应用于重建乳房的 3D 数据，并成为 DBT 成像中传统图像重建技术（如滤波反投影（FBP））的一种替代方法。
目的
提出了一种新的用于信号 TV 去噪的极大似然最小化（MM）算法。然而，在 DBT 领域，该算法尚未得到应用。在本研究中，我们提出了一种新的方法“ART+TV3D+MM”，将（MM）算法应用于 ART+TV3D 重建的图像，以研究不同成像剂量水平下降低辐射剂量的可能性。
方法
使用西门子 MAMMOMAT DBT 系统采集真实乳腺体模（CD Pasmam 1054）的投影。重复并测试了该新方法在 3 个不同辐射剂量水平下的效果。使用定性和定量评估，比较了使用新方法和常用 FBP 方法重建的图像的质量。
结果
与西门子 MAMMOMAT 的 FBP 相比，新方法在视觉评估、对比噪声比（CNR）、半峰全宽（FWHM）值和 1D 轮廓方面表现出更好的结果。为两个不同的感兴趣区域（ROI）评估了 CNR 值。例如，在 100 mAs 时，FBP 和新方法的 ROI-2 的 CNR 值分别为 1.670 和 1.978。此外，在 100 mAs 时，FBP 的 ROI-1 的 CNR 值为 0.955，而使用新方法的 ROI-1 的 CNR 值为 48.163。在 56 mAs 时，FBP 和新方法的 FWHM 值分别为 2.328 和 1.765，在 100 mAs 时，FWHM 值分别为 2.032 和 1.661，在 199 mAs 时，FWHM 值分别为 2.111 和 1.736。
结论
结果支持使用“ART+TV3D+MM”的新方法可以帮助降低辐射剂量水平，这是 DBT 成像的最关键限制之一。
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