Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada and Sunnybrook Research Institute, S-657, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5 Canada.
Med Phys. 2013 Oct;40(10):101901. doi: 10.1118/1.4819943.
The order in which the projection views are employed in the reconstruction of tomosynthesis by iterative algorithms, such as simultaneous algebraic reconstruction technique and maximum likelihood, has a strong effect on the rate of convergence, accuracy, and the edge-blurring artifacts in the reconstructed image. The purpose of this investigation was to characterize and evaluate the effects of ordering schemes on image quality for breast tomosynthesis reconstruction and to explore a new constrained paired-view technique that could provide reduction of reconstruction artifacts. In this work, the authors compared several different ordering schemes and characterized the image quality and the formation of out-of-plane artifacts. Furthermore, a new normalization method is presented. It produces more accurate reconstructions with reduced artifacts comparing to the standard method of sequential ordering.
In addition to visual assessment of image quality, several indices such as the signal-difference-to-noise ratio, the artifact-spread function, and the lesion detectability (d(')) were computed to quantitatively evaluate the effect of ordering scheme. The sets of breast tomosynthesis projection images were simulated for reconstruction; one set had uniform background (white noise only) and the other two contained both anatomic background and quantum noise. Clinical breast images were also studied for comparison.
The authors have quantified the image quality in reconstructed slices for a range of tumor sizes. The authors' proposed method provides better performance for all of the metrics tested (contrast, d('), and the level of artifacts) both for the uniform phantom case and in the presence of anatomical structure.
The paired projection normalization provides better performance in the image quality of the reconstructed slices, and results in a lower level of artifacts in the Z direction. This implies that even a relatively simple method like the "side-to-side" sequence, which pairs two symmetrical projections with equal angular distance from the central projection, would achieve better reconstructed image quality than the conventional "step-by-step" method, which uses sequential projections one after another.
在迭代算法(如同时代数重建技术和最大似然)中,层析合成的投影视图的排列顺序对收敛速度、准确性以及重建图像中的边缘模糊伪影有很大影响。本研究的目的是描述和评估排序方案对乳房层析重建图像质量的影响,并探索一种新的约束对视图技术,该技术可以减少重建伪影。在这项工作中,作者比较了几种不同的排序方案,并对图像质量和离轴伪影的形成进行了特征描述。此外,还提出了一种新的归一化方法。与顺序排序的标准方法相比,它可以产生更准确的重建结果,并减少伪影。
除了对图像质量进行视觉评估外,还计算了一些指标,如信号-噪声比、伪影扩展函数和病变可检测性(d(')),以定量评估排序方案的效果。对一组乳房层析投影图像进行了重建模拟;一组具有均匀背景(仅白噪声),另外两组既有解剖背景又有量子噪声。还研究了临床乳房图像进行比较。
作者已经量化了一系列肿瘤大小的重建切片中的图像质量。作者提出的方法在所有测试的指标(对比度、d(')和伪影水平)上都提供了更好的性能,无论是在均匀体模情况下还是存在解剖结构的情况下。
对投影的归一化处理提供了更好的重建切片图像质量,并且在 Z 方向上产生了更低的伪影水平。这意味着,即使是像“左右”序列这样相对简单的方法,它将两个具有相等中心投影角度距离的对称投影配对,也会比传统的“一步一步”方法获得更好的重建图像质量,后者依次使用连续的投影。