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基于期望最大化重建算法的伽马射线发射型乳腺断层合成的实现与评估。

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

机构信息

Department of Physics, University of Virginia, Charlottesville, VA, USA.

出版信息

Med Phys. 2012 Dec;39(12):7580-92. doi: 10.1118/1.4764480.

Abstract

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.

摘要

目的

我们正在开发一种双模式断层合成乳腺扫描仪,其中 X 射线透射断层合成和伽马发射断层合成在乳房的常见配置中顺序进行。在这两种模式中,投影数据都是从轻度压缩乳房的一侧获得的,角度范围小于 180°,导致不完全和不对称的采样。这项工作的目的是实现和评估用于伽马发射乳腺断层合成(GEBT)的最大似然期望最大化(MLEM)重建算法。

方法

使用蒙特卡罗模拟和体模实验相结合的方法来测试用于 GEBT 的 MLEM 算法。该算法利用从 X 射线乳腺断层合成扫描中获得的先验信息,部分补偿不完全的角度采样,并进行衰减校正(AC)和分辨率恢复(RR)。系统空间分辨率、图像伪影、病变对比度和信噪比(SNR)作为图像质量的衡量标准。为了测试重建算法的稳健性,并评估校正技术随角度范围变化的相对影响,使用采集角度范围为 45°、90°和 135°进行了模拟和实验。为了进行比较,还获得了一个包含与全 GEBT 扫描相同总计数的单投影,以模拟平面乳腺闪烁成像。

结果

重建的 GEBT 图像的平面空间分辨率与源在重建体积内的位置无关,也与采集角度范围无关。对于 45°采集,在深度方向(乳房压缩方向)的空间分辨率随源深度(距准直器表面的距离)的增加而降低。将采集角度范围从 45°增加到 135°,既大大降低了这种深度依赖性,又将平均深度分辨率从 10.8 毫米提高到 4.8 毫米。135°采集得到的是近各向同性的、空间均匀的 3D 分辨率,最大半高全宽约为 4.3 毫米。背景非均匀性(杯状)伪影主要是由于小角度采集的角度不完全引起的,但主要是由于较大角度采集的伽马射线衰减引起的。然而,如果同时应用先验信息正则化和 AC,则可以大大消除背景伪影。通过 AC 和 RR 的组合,也可以大大减少随病变深度增加而导致的病变体素值的人为降低。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成像高 2.6-8.8 倍和 2.3-5.6 倍,这取决于采集角度、伽马相机轨迹和病变位置。此外,在平面乳腺闪烁成像中观察到的随病变深度增加而导致的病变对比度和 SNR 大幅降低,在 GEBT 中可以得到很大程度的克服。

结论

作者已经证明了一种有前途的基于 EM 的重建方案,可用于 GEBT。与平面乳腺闪烁成像相比,GEBT 提供了更好的、与位置无关的病变对比度、病变 SNR 和空间分辨率,以及更准确的病变与背景活性浓度比的定量。

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