Approximate 3D iterative reconstruction for SPECT.
Approximate 3D iterative reconstruction for SPECT.
复制标题
SPECT 的近似 3D 迭代重建。
DOI：
10.1118/1.598030
复制
发表时间：
1997
期刊：
影响因子：
3.8
通讯作者：
Coleman,RE
中科院分区：
文献类型：
--
作者：
Gilland,DR;Jaszczak,RJ;Riauka,TA;Coleman,RE
与SPECT重建的逐层方法相比，三维迭代方法提供了更准确的物理模型和改进的SPECT图像。然而，这些方法的临床应用主要受到其计算需求的限制。本文研究了近似3D迭代重建的方法，大大减少了这种需求，从重建排除系统矩阵的较小幅度的元素。描述了一种新的方法，该方法被设计为控制在SPECT图像中产生的偏差，以减少计算。近似方法进行了比较，全三维迭代重建的SPECT图像偏差和视觉质量。所有方法都被纳入ML-EM算法，并应用于3D数学和实验脑模型的数据。通过近似方法重建的SPECT图像在整个图像中表现出正偏差，新方法通常较小（在2%-6%的范围内）。在局部较热的区域，偏差最小，在局部较冷的区域，偏差最大。高质量的脑体模图像证明了新方法在真实成像环境中的能力。在现代工作站上使用近似3D方法的整个3D脑体模的每次迭代时间为7.9 s。
Compared with slice‐by‐slice approaches for SPECT reconstruction, three‐dimensional iterative methods provide a more accurate physical model and an improved SPECT image. Clinical application of these methods, however, is limited primarily by their computational demands. This paper investigates methods for approximate 3D iterative reconstruction that greatly reduce this demand by excluding from the reconstruction the smaller magnitude elements of the system matrix. A new method is described which is designed to control the resulting bias in the SPECT image for a given reduction in computation. The approximate methods were compared to fully 3D iterative reconstruction in terms of SPECT image bias and visual quality. All methods were incorporated into the ML‐EM algorithm and applied to data from 3D mathematical and experimental brain phantoms. The SPECT images reconstructed by the approximate methods exhibited a positive bias throughout the image that was in general smaller with the new method (in the range of 2%–6%). The bias was smallest in locally hot regions and largest in locally cold regions. The high quality brain phantom images demonstrated the capability of the new method in realistic imaging contexts. The time per iteration for an entire 3D brain phantom on a modern workstation using the approximate 3D method was 7.9 s.