Kadrmas D J, Frey E C, Karimi S S, Tsui B M
Department of Biomedical Engineering, The University of North Carolina at Chapel Hill, 27599, USA.
Phys Med Biol. 1998 Apr;43(4):857-73. doi: 10.1088/0031-9155/43/4/014.
Accurate scatter compensation in SPECT can be performed by modelling the scatter response function during the reconstruction process. This method is called reconstruction-based scatter compensation (RBSC). It has been shown that RBSC has a number of advantages over other methods of compensating for scatter, but using RBSC for fully 3D compensation has resulted in prohibitively long reconstruction times. In this work we propose two new methods that can be used in conjunction with existing methods to achieve marked reductions in RBSC reconstruction times. The first method, coarse-grid scatter modelling, significantly accelerates the scatter model by exploiting the fact that scatter is dominated by low-frequency information. The second method, intermittent RBSC, further accelerates the reconstruction process by limiting the number of iterations during which scatter is modelled. The fast implementations were evaluated using a Monte Carlo simulated experiment of the 3D MCAT phantom with 99mTc tracer, and also using experimentally acquired data with 201Tl tracer. Results indicated that these fast methods can reconstruct, with fully 3D compensation, images very similar to those obtained using standard RBSC methods, and in reconstruction times that are an order of magnitude shorter. Using these methods, fully 3D iterative reconstruction with RBSC can be performed well within the realm of clinically realistic times (under 10 minutes for 64 x 64 x 24 image reconstruction).
在单光子发射计算机断层显像(SPECT)中,准确的散射补偿可通过在重建过程中对散射响应函数进行建模来实现。这种方法被称为基于重建的散射补偿(RBSC)。已表明,与其他散射补偿方法相比,RBSC具有许多优势,但使用RBSC进行全三维补偿会导致重建时间长得令人望而却步。在这项工作中,我们提出了两种新方法,可与现有方法结合使用,以显著减少RBSC的重建时间。第一种方法是粗网格散射建模,它利用散射主要由低频信息主导这一事实,显著加速了散射模型。第二种方法是间歇性RBSC,通过限制对散射进行建模的迭代次数,进一步加速重建过程。使用含99mTc示踪剂的三维MCAT体模的蒙特卡罗模拟实验,以及使用含201Tl示踪剂的实验获取数据,对这些快速实现方法进行了评估。结果表明,这些快速方法能够在全三维补偿的情况下重建出与使用标准RBSC方法获得的图像非常相似的图像,且重建时间缩短了一个数量级。使用这些方法,结合RBSC的全三维迭代重建能够在临床实际可行的时间范围内顺利完成(对于64×64×24图像重建,时间在10分钟以内)。