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Implementation and evaluation of an expectation maximization reconstruction algorithm for gamma emission breast tomosynthesis

机译:伽马发射乳房断层合成期望最大化重建算法的实现与评估

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摘要

>Purpose: We are developing a dual modality tomosynthesis breast scanner in which x-ray transmission tomosynthesis and gamma emission tomosynthesis are performed sequentially with the breast in a common configuration. In both modalities projection data are obtained over an angular range of less than 180° from one side of the mildly compressed breast resulting in incomplete and asymmetrical sampling. The objective of this work is to implement and evaluate a maximum likelihood expectation maximization (MLEM) reconstruction algorithm for gamma emission breast tomosynthesis (GEBT).>Methods: A combination of Monte Carlo simulations and phantom experiments was used to test the MLEM algorithm for GEBT. The algorithm utilizes prior information obtained from the x-ray breast tomosynthesis scan to partially compensate for the incomplete angular sampling and to perform attenuation correction (AC) and resolution recovery (RR). System spatial resolution, image artifacts, lesion contrast, and signal to noise ratio (SNR) were measured as image quality figures of merit. To test the robustness of the reconstruction algorithm and to assess the relative impacts of correction techniques with changing angular range, simulations and experiments were both performed using acquisition angular ranges of 45°, 90° and 135°. For comparison, a single projection containing the same total number of counts as the full GEBT scan was also obtained to simulate planar breast scintigraphy.>Results: The in-plane spatial resolution of the reconstructed GEBT images is independent of source position within the reconstructed volume and independent of acquisition angular range. For 45° acquisitions, spatial resolution in the depth dimension (the direction of breast compression) is degraded with increasing source depth (increasing distance from the collimator surface). Increasing the acquisition angular range from 45° to 135° both greatly reduces this depth dependence and improves the average depth dimension resolution from 10.8 to 4.8 mm. The 135° acquisition results in a near-isotropic, spatially uniform 3D resolution of approximately 4.3 mm full width at half maximum. Background nonuniformity (cupping) artifacts arise primarily from angular incompleteness for small angular range acquisition but primarily from gamma ray attenuation at larger angular range. However, background artifacts can be largely eliminated if both prior information regularization and AC are applied. An artificial decrease in lesion voxel value with increasing lesion depth can also be substantially reduced through a combination of AC and RR. In experiments using compressible gelatin breast phantoms, lesion contrast and SNR are about 2.6–8.8 times and 2.3–5.6 times higher, respectively, in GEBT than in planar breast scintigraphy depending on the acquisition angle, the gamma camera trajectory, and the lesion location. In addition, the strong reduction in lesion contrast and SNR with increasing lesion depth that is observed in planar breast scintigraphy can be largely overcome in GEBT.>Conclusions: The authors have demonstrated a promising EM-based reconstruction scheme for use in GEBT. Compared to planar breast scintigraphy GEBT provides superior and less position-dependent lesion contrast, lesion SNR, and spatial resolution as well as more accurate quantification of lesion-to-background activity concentration ratio.
机译:>目的:我们正在开发一种双模态断层合成乳房扫描仪,其中以相同的配置顺序对乳房进行X射线透射断层合成和伽马发射断层合成。在这两种方式中,投影数据都是在从轻微受压的乳房的一侧小于180°的角度范围内获得的,从而导致采样不完整和不对称。这项工作的目的是实现和评估用于伽马发射乳房断层合成(GEBT)的最大似然期望最大化(MLEM)重建算法。>方法:使用了蒙特卡罗模拟和幻像实验相结合的方法测试用于GEBT的MLEM算法。该算法利用从X射线乳房断层扫描获得的先验信息来部分补偿不完整的角度采样,并执行衰减校正(AC)和分辨率恢复(RR)。测量系统空间分辨率,图像伪影,病变对比度和信噪比(SNR),作为图像质量指标。为了测试重建算法的鲁棒性并评估校正技术随角度范围变化的相对影响,均使用45°,90°和135°采集角范围进行了仿真和实验。为了进行比较,还获得了一个具有与完整GEBT扫描相同总数的计数的单个投影,以模拟平面乳腺闪烁扫描。>结果:重建的GEBT图像的面内空间分辨率与源位置在重建体积内,并且与采集角度范围无关。对于45°采集,深度尺寸(乳房受压方向)的空间分辨率会随着源深度的增加(与准直仪表面的距离增加)而降低。将采集角度范围从45°增加到135°既可以大大降低深度依赖性,又可以将平均深度尺寸分辨率从10.8毫米提高到4.8毫米。 135°采集可产生近似各向同性的,空间均匀的3D分辨率,其最大半宽度约为4.3毫米。背景不均匀(凹陷)伪影主要是由于角度范围较小时角度不完整引起的,而主要是由较大角度范围内的伽马射线衰减引起的。但是,如果同时应用了先验信息正则化和AC,则可以大大消除背景伪像。通过增加AC和RR,也可以显着减少随病变深度增加而人为减少的病变体素值。在使用可压缩明胶乳腺体模的实验中,GEBT的病变对比度和SNR分别比平面乳腺闪烁显像术高约2.6-8.8倍和2.3-5.6倍,具体取决于采集角度,伽马相机轨迹和病变部位。此外,GEBT可以大大克服平面乳腺闪烁显像术中观察到的病变对比度和SNR随病变深度的增加而大大降低。>结论:作者已经证明了一种有前途的基于EM的重建方案在GEBT中使用。与平面乳腺闪烁显像术相比,GEBT提供了优越的位置依赖性病变对比度,病变SNR和空间分辨率,以及定量的病变与背景活性浓度比更准确。

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