Dept. of Electr. Eng., Washington Univ., St. Louis, MO.
IEEE Trans Med Imaging. 1991;10(3):426-36. doi: 10.1109/42.97593.
Extending the work of A.W. McCarthy et al. (1988) and M.I. Miller and B. Roysam (1991), the authors demonstrate that a fully parallel implementation of the maximum-likelihood method for single-photon emission computed tomography (SPECT) can be accomplished in clinical time frames on massively parallel systolic array processors. The authors show that for SPECT imaging on 64x64 image grids, with 96 view angles, the single-instruction, multiple data (SIMD) distributed array processor containing 64(2) processors performs the expectation-maximization (EM) algorithm with Good's smoothing at a rate of 1 iteration/1.5 s. This promises for emission tomography fully Bayesian reconstructions including regularization in clinical computation times which are on the order of 1 min/slice. The most important result of the implementations is that the scaling rules for computation times are roughly linear in the number of processors.
延续 A.W. 麦卡锡等人（1988 年）和 M.I. 米勒和 B. 罗伊斯姆（1991 年）的工作，作者证明了最大似然法在单光子发射计算机断层扫描（SPECT）中的完全并行实现可以在大规模并行系统结构处理器上的临床时间范围内完成。作者表明，对于 64x64 图像网格的 SPECT 成像，有 96 个视角，包含 64(2)个处理器的单指令、多数据（SIMD）分布式阵列处理器以 1 迭代/1.5 s 的速率执行期望最大化（EM）算法与古德平滑。这为发射断层扫描完全贝叶斯重建提供了希望，包括在临床计算时间内进行正则化，其时间约为 1 分钟/片。实现的最重要结果是，计算时间的缩放规则大致与处理器数量呈线性关系。
