Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, 75 Francis Street, Boston, Massachusetts 02115, USA.
Med Phys. 2013 Aug;40(8):082501. doi: 10.1118/1.4812421.
A well-established approach for diagnostic imaging of osteomyelitis (OM), a bone infection, is simultaneous SPECT-CT of 99mTc sulfur colloid (SC) and 111In white blood cells (WBC). This method provides essentially perfect spatial registration of the tracers within anatomic sites of interest. Currently, diagnosis is based purely on a visual assessment-where relative discordance between 99mTc and 111In uptake in bone, i.e., high 111In and low 99mTc, suggests OM. To achieve more quantitative images, noise, scatter, and crosstalk between radionuclides must be addressed through reconstruction. Here the authors compare their Monte Carlo-based joint OSEM (MC-JOSEM) algorithm, which reconstructs both radionuclides simultaneously, to a more conventional triple-energy window-based reconstruction (TEW-OSEM), and to iterative reconstruction with no compensation for scatter (NC-OSEM).
The authors created numerical phantoms of the foot and torso. Multiple bone-infection sites were modeled using high-count Monte Carlo simulation. Counts per voxel were then scaled to values appropriate for 111In WBC and 99mTc SC imaging. Ten independent noisy projection image sets were generated by drawing random Poisson deviates from these very low-noise images. Data were reconstructed using the two iterative scatter-compensation methods, TEW-OSEM and MC-JOSEM, as well as the uncorrected method (NC-OSEM). Mean counts in volumes of interest (VOIs) were used to evaluate the bias and precision of each method. Data were also acquired using a phantom, approximately the size of an adult ankle, consisting of regions representing infected and normal bone marrow, within a bone-like attenuator and surrounding soft tissue; each compartment contained a mixture of 111In and 99mTc. Low-noise data were acquired during multiple short scans over 29 h on a Siemens Symbia T6 SPECT-CT with medium-energy collimators. Pure 99mTc and 111In projection datasets were derived by fitting the acquired projections to the sum of 99mTc and 111In contributions, using the known half-lives. Uncontaminated data were scaled and recombined into six datasets with different activity ratios; ten Poisson noise realizations were then generated for each ratio. VOIs in each of the compartments were used to evaluate the bias and precision of each method with respect to reconstructions of uncontaminated datasets. In addition to the simulated and acquired phantom images, the authors reconstructed patient images with MC-JOSEM and TEW-OSEM. Patient reconstructions were assessed qualitatively for lesion contrast, spatial definition, and scatter.
For all simulated and acquired infection phantoms, the root-mean squared-error of measured 99mTc activity was significantly improved with MC-JOSEM and TEW-OSEM in comparison to NC-OSEM reconstructions. While MC-JOSEM trended toward outperforming TEW-OSEM, the improvement was only found to be significant (p<0.001) for the acquired bone phantom in which a wide range of 111In∕99mTc concentration ratios were tested. In all cases, scatter correction did not significantly improve 111In quantitation.
Compensation for scatter and crosstalk is useful for improving quality, bias, and precision of 99mTc activity estimates in simultaneous dual-radionuclide imaging of OM. The use of the more rigorous MC-based estimates provided marginal improvements over TEW. While the phantom results were encouraging, more subjects are needed to evaluate the usefulness of quantitative 111In∕99mTc SPECT-CT in the clinic.
骨感染(OM)的诊断成像已有一种成熟的方法,即同时进行 99mTc 硫胶体(SC)和 111In 白细胞(WBC)的 SPECT-CT。这种方法实质上可以实现示踪剂在感兴趣解剖部位的完美空间配准。目前,诊断完全基于视觉评估-骨中 99mTc 和 111In 摄取的相对差异,即高 111In 和低 99mTc,提示 OM。为了获得更定量的图像,必须通过重建来解决噪声、散射和放射性核素之间的串扰。在这里,作者比较了他们基于蒙特卡罗的联合 OSEM(MC-JOSEM)算法,该算法同时重建两种放射性核素,与更传统的基于三重能量窗的重建(TEW-OSEM),以及没有散射补偿的迭代重建(NC-OSEM)。
作者创建了脚和躯干的数值体模。使用高计数蒙特卡罗模拟对多个骨感染部位进行建模。然后将每个体素的计数缩放为适用于 111In WBC 和 99mTc SC 成像的值。通过从这些非常低噪声图像中提取随机泊松偏差,生成了十个独立的噪声投影图像集。使用两种迭代散射补偿方法(TEW-OSEM 和 MC-JOSEM)以及未校正方法(NC-OSEM)对数据进行重建。使用感兴趣体积(VOI)中的平均计数来评估每种方法的偏差和精度。还使用一个大约为成人脚踝大小的体模进行了数据采集,该体模由代表感染和正常骨髓的区域组成,位于类似于骨骼的衰减器和周围的软组织内;每个隔室都包含 111In 和 99mTc 的混合物。使用具有中能准直器的西门子 Symbia T6 SPECT-CT 在 29 小时内进行多次短扫描,以低噪声采集数据。通过将采集的投影拟合到 99mTc 和 111In 贡献的总和,使用已知的半衰期,从获得的投影中得出纯 99mTc 和 111In 投影数据集。对未受污染的数据进行缩放和重新组合成六个具有不同活性比的数据集;然后为每个比例生成十个泊松噪声实现。对每个隔室的 VOI 进行评估,以评估每种方法在重建未受污染数据集时的偏差和精度。除了模拟和采集的体模图像外,作者还使用 MC-JOSEM 和 TEW-OSEM 重建了患者图像。对患者重建图像进行定性评估,以评估病变对比度、空间定义和散射。
对于所有模拟和采集的感染体模,与 NC-OSEM 重建相比,MC-JOSEM 和 TEW-OSEM 显著改善了测量的 99mTc 活性的均方根误差。虽然 MC-JOSEM 趋于优于 TEW-OSEM,但仅在测试了广泛的 111In∕99mTc 浓度比的采集骨体模中发现这种改进具有统计学意义(p<0.001)。在所有情况下,散射校正都没有显著改善 111In 的定量。
在 OM 的同时双放射性核素成像中,散射和串扰的补偿对于提高 99mTc 活性估计的质量、偏差和精度是有用的。使用更严格的基于 MC 的估计值对 TEW 提供了微小的改进。虽然体模结果令人鼓舞,但还需要更多的受试者来评估定量 111In∕99mTc SPECT-CT 在临床上的有用性。