Kadrmas D J, Frey E C, Tsui B M
Department of Radiology, University of Utah, CAMT, Salt Lake City 84108, USA.
Phys Med Biol. 1999 Jul;44(7):1843-60. doi: 10.1088/0031-9155/44/7/319.
Simultaneous acquisition of dual-isotope SPECT data offers a number of advantages over separately acquired data; however, simultaneous acquisition can result in cross-contamination between isotopes. In this work we propose and evaluate two frameworks for iterative model-based compensation of cross-contamination in dual-isotope SPECT. The methods were applied to cardiac imaging with technetium-99m-sestamibi and thallium-201, and they were compared with a subtraction-based compensation method using a cross-talk estimate obtained from an auxiliary energy window. Monte Carlo simulations were performed to carefully study aspects of bias and noise for the methods, and a torso phantom with cardiac insert was used to evaluate the performance of the methods for experimentally acquired data. The cross-talk compensation methods substantially improved lesion contrast and significantly reduced quantitative errors for simultaneously acquired data. Thallium image normalized mean square error (NMSE) was reduced from 0.522 without cross-talk compensation to as low as 0.052 with model-based cross-talk compensation. This is compared with a NMSE of 0.091 for the subtraction-based compensation method. The application of a preliminary model for cross-talk arising from lead fluorescence x-rays and collimator scatter gave promising results, and the future development of a more accurate model for collimator interactions would probably benefit simultaneous Tc/Tl imaging. Model-based compensation methods provide feasible cross-talk compensation in clinically acceptable times, and they may ultimately make simultaneous dual-isotope protocols an effective alternative for many imaging procedures.
与单独采集的数据相比,同时采集双同位素单光子发射计算机断层扫描(SPECT)数据具有许多优势;然而,同时采集可能会导致同位素之间的交叉污染。在这项工作中,我们提出并评估了两种基于迭代模型的双同位素SPECT交叉污染补偿框架。这些方法应用于使用锝-99m-甲氧基异丁基异腈和铊-201的心脏成像,并与使用从辅助能量窗口获得的串扰估计的基于减法的补偿方法进行比较。进行了蒙特卡罗模拟以仔细研究这些方法的偏差和噪声方面,并使用带有心脏插件的躯干模型来评估这些方法对实验采集数据的性能。交叉污染补偿方法显著提高了病变对比度,并显著降低了同时采集数据的定量误差。铊图像的归一化均方误差(NMSE)从无交叉污染补偿时的0.522降低到基于模型的交叉污染补偿时的低至0.052。相比之下,基于减法补偿方法的NMSE为0.091。对由铅荧光x射线和准直器散射引起的交叉污染应用初步模型取得了有希望的结果,并且开发更准确的准直器相互作用模型可能会使同时进行的锝/铊成像受益。基于模型的补偿方法在临床可接受的时间内提供了可行的交叉污染补偿,并且它们最终可能使同时双同位素方案成为许多成像程序的有效替代方案。