Ouyang Jinsong, Zhu Xuping, Trott Cathryn M, El Fakhri Georges
Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital, Boston, Massachusetts 02114, USA.
Med Phys. 2009 Feb;36(2):602-11. doi: 10.1118/1.3063544.
Simultaneous rest 99mTc-Sestamibi/ 123I-BMIPP cardiac SPECT imaging has the potential to replace current clinical 99mTc-Sestamibi rest/stress imaging and therefore has great potential in the case of patients with chest pain presenting to the emergency department. Separation of images of these two radionuclides is difficult, however, because their emission energies are close. The authors previously developed a fast Monte Carlo (MC)-based joint ordered-subset expectation maximization (JOSEM) iterative reconstruction algorithm (MC-JOSEM), which simultaneously compensates for scatter and cross talk as well as detector response within the reconstruction algorithm. In this work, the authors evaluated the performance of MC-JOSEM in a realistic population of 99mTc/123I studies using cardiac phantom data on a Siemens e.cam system using a standard cardiac protocol. The authors also compared the performance of MC-JOSEM for estimation tasks to that of two other methods: standard OSEM using photopeak energy windows without scatter correction (NSC-OSEM) and standard OSEM using a Compton-scatter energy window for scatter correction (SC-OSEM). For each radionuclide the authors separately acquired high-count projections of radioactivity in the myocardium wall, liver, and soft tissue background compartments of a water-filled torso phantom, and they generated synthetic projections of various dual-radionuclide activity distributions. Images of different combinations of myocardium wall/background activity concentration ratios for each radionuclide were reconstructed by NSC-OSEM, SC-OSEM, and MC-JOSEM. For activity estimation in the myocardium wall, MC-JOSEM always produced the best relative bias and relative standard deviation compared with NSC-OSEM and SC-OSEM for all the activity combinations. On average, the relative biases after 100 iterations were 8.1% for 99mTc and 3.7% for 123I with MC-JOSEM, 39.4% for 99mTc and 23.7% for 123I with NSC-OSEM, and 20.9% for 99mTc with SC-OSEM. The relative standard deviations after 30 iterations were 0.7% for 99mTc and 1.0% for 123I with MC-JOSEM, as compared to 1.1% for 99mTc and 1.2% for 123I with NSC-OSEM and 1.3% for 99mTc with SC-OSEM. Finally, the authors compared the relative standard deviation after 30 iterations with the minimum theoretical variance on activity estimation, the Cramer-Rao lower bound (CRB), and with the biased CRB. The measured precision was larger than the biased bound values by factors of 2-4, suggesting that further improvement could be made to the method.
同时静息状态下的99mTc-司他米比/123I-苄甲异丙基对碘苯甲腈心脏单光子发射计算机断层显像(SPECT)有潜力取代当前临床使用的99mTc-司他米比静息/负荷显像,因此对于因胸痛就诊于急诊科的患者具有巨大潜力。然而,由于这两种放射性核素的发射能量相近,分离它们的图像很困难。作者之前开发了一种基于快速蒙特卡罗(MC)的联合有序子集期望最大化(JOSEM)迭代重建算法(MC-JOSEM),该算法在重建算法中同时补偿散射、串扰以及探测器响应。在这项工作中,作者使用西门子e.cam系统上的标准心脏协议,通过心脏体模数据,在实际的99mTc/123I研究人群中评估了MC-JOSEM的性能。作者还将MC-JOSEM在估计任务中的性能与其他两种方法进行了比较:使用无散射校正的光电峰能量窗的标准有序子集期望最大化(NSC-OSEM)和使用康普顿散射能量窗进行散射校正的标准有序子集期望最大化(SC-OSEM)。对于每种放射性核素,作者分别采集了充水躯干体模心肌壁、肝脏和软组织背景区放射性的高计数投影,并生成了各种双放射性核素活度分布的合成投影。通过NSC-OSEM、SC-OSEM和MC-JOSEM重建了每种放射性核素心肌壁/背景活度浓度比不同组合的图像。对于心肌壁中的活度估计,与NSC-OSEM和SC-OSEM相比,在所有活度组合下,MC-JOSEM始终产生最佳的相对偏差和相对标准差。平均而言,MC-JOSEM在100次迭代后的相对偏差对于99mTc为8.1%,对于123I为3.7%;NSC-OSEM对于99mTc为39.4%,对于123I为23.7%;SC-OSEM对于99mTc为20.9%。MC-JOSEM在30次迭代后的相对标准差对于99mTc为0.7%,对于123I为1.0%,相比之下,NSC-OSEM对于99mTc为1.1%,对于123I为1.2%,SC-OSEM对于99mTc为1.3%。最后,作者将30次迭代后的相对标准差与活度估计的最小理论方差、克拉美-罗下界(CRB)以及有偏CRB进行了比较。测量精度比有偏边界值大2至4倍,这表明该方法仍可进一步改进。