Department of Electrical and Electronics Engineering, Istanbul Technical University, 34469 Istanbul, Turkey.
Department of Computer and Informatics Engineering, Istanbul Technical University, 34469 Istanbul, Turkey.
Comput Math Methods Med. 2013;2013:250689. doi: 10.1155/2013/250689. Epub 2013 Nov 25.
Digital breast tomosynthesis (DBT) is an innovative imaging modality that provides 3D reconstructed images of breast to detect the breast cancer. Projections obtained with an X-ray source moving in a limited angle interval are used to reconstruct 3D image of breast. Several reconstruction algorithms are available for DBT imaging. Filtered back projection algorithm has traditionally been used to reconstruct images from projections. Iterative reconstruction algorithms such as algebraic reconstruction technique (ART) were later developed. Recently, compressed sensing based methods have been proposed in tomosynthesis imaging problem. We have developed an object-oriented simulator for 3D digital breast tomosynthesis (DBT) imaging system using C++ programming language. The simulator is capable of implementing different iterative and compressed sensing based reconstruction methods on 3D digital tomosynthesis data sets and phantom models. A user friendly graphical user interface (GUI) helps users to select and run the desired methods on the designed phantom models or real data sets. The simulator has been tested on a phantom study that simulates breast tomosynthesis imaging problem. Results obtained with various methods including algebraic reconstruction technique (ART) and total variation regularized reconstruction techniques (ART+TV) are presented. Reconstruction results of the methods are compared both visually and quantitatively by evaluating performances of the methods using mean structural similarity (MSSIM) values.
数字乳腺断层合成术（DBT）是一种创新的成像方式，可提供乳腺的 3D 重建图像，以检测乳腺癌。使用在有限角度间隔内移动的 X 射线源获得的投影来重建乳腺的 3D 图像。有几种重建算法可用于 DBT 成像。传统上使用滤波反投影算法从投影重建图像。后来开发了迭代重建算法，如代数重建技术（ART）。最近，在断层合成成像问题中提出了基于压缩感知的方法。我们使用 C++编程语言为 3D 数字乳腺断层合成术（DBT）成像系统开发了一个面向对象的模拟器。该模拟器能够在 3D 数字断层合成数据集和体模模型上实现不同的迭代和基于压缩感知的重建方法。用户友好的图形用户界面（GUI）帮助用户在设计的体模模型或真实数据集上选择和运行所需的方法。该模拟器已经在模拟乳腺断层合成成像问题的体模研究中进行了测试。展示了包括代数重建技术（ART）和全变差正则化重建技术（ART+TV）在内的各种方法的结果。通过使用平均结构相似性（MSSIM）值评估方法的性能，对这些方法的重建结果进行了直观和定量的比较。
