Gilland D R, Jaszczak R J, Greer K L, Coleman R E
Department of Radiology, Duke University Medical Center, Durham, North Carolina 27710.
J Nucl Med. 1991 Mar;32(3):527-33.
Many clinical and research studies in nuclear medicine require quantitation of iodine-123 (123I) distribution for the determination of kinetics or localization. The objective of this study was to implement several reconstruction methods designed for single-photon emission computed tomography (SPECT) using 123I and to evaluate their performance in terms of quantitative accuracy, image artifacts, and noise. The methods consisted of four attenuation and scatter compensation schemes incorporated into both the filtered backprojection/Chang (FBP) and maximum likelihood-expectation maximization (ML-EM) reconstruction algorithms. The methods were evaluated on data acquired of a phantom containing a hot sphere of 123I activity in a lower level background 123I distribution and nonuniform density media. For both reconstruction algorithms, nonuniform attenuation compensation combined with either scatter subtraction or Metz filtering produced images that were quantitatively accurate to within 15% of the true value. The ML-EM algorithm demonstrated quantitative accuracy comparable to FBP and smaller relative noise magnitude for all compensation schemes.
核医学中的许多临床和研究都需要对碘-123(¹²³I)分布进行定量分析,以确定动力学或定位情况。本研究的目的是采用几种专为¹²³I单光子发射计算机断层扫描(SPECT)设计的重建方法,并从定量准确性、图像伪影和噪声方面评估其性能。这些方法包括四种衰减和散射补偿方案,它们被纳入滤波反投影/Chang(FBP)和最大似然期望最大化(ML-EM)重建算法中。这些方法是根据在较低水平背景¹²³I分布和非均匀密度介质中包含¹²³I活性热球的模型所采集的数据进行评估的。对于这两种重建算法,非均匀衰减补偿与散射减法或梅茨滤波相结合所产生的图像,其定量准确性在真实值的15%以内。对于所有补偿方案,ML-EM算法显示出与FBP相当的定量准确性以及较小的相对噪声幅度。