Bettinardi V, Alenius S, Numminen P, Teräs M, Gilardi M C, Fazio F, Ruotsalainen U
Department of Nuclear Medicine, Scientific Institute H.San Raffaele, University of Milano-Bicocca, INB-CNR, Via Olgettina 60, 20132, Milan, Italy.
Eur J Nucl Med Mol Imaging. 2003 Feb;30(2):222-31. doi: 10.1007/s00259-002-1046-4. Epub 2002 Dec 14.
An ordered subsets (OS) reconstruction algorithm based on the median root prior (MRP) and inter-update median filtering was implemented for the reconstruction of low count statistics transmission (TR) scans. The OS-MRP-TR algorithm was evaluated using an experimental phantom, simulating positron emission tomography (PET) whole-body (WB) studies, as well as patient data. Various experimental conditions, in terms of TR scan time (from 1 h to 1 min), covering a wide range of TR count statistics were evaluated. The performance of the algorithm was assessed by comparing the mean value of the attenuation coefficient (MVAC) of known tissue types and the coefficient of variation (CV) for low-count TR images, reconstructed with the OS-MRP-TR algorithm, with reference values obtained from high-count TR images reconstructed with a filtered back-projection (FBP) algorithm. The reconstructed OS-MRP-TR images were then used for attenuation correction of the corresponding emission (EM) data. EM images reconstructed with attenuation correction generated by OS-MRP-TR images, of low count statistics, were compared with the EM images corrected for attenuation using reference (high statistics) TR data. In all the experimental situations considered, the OS-MRP-TR algorithm showed: (1) a tendency towards a stable solution in terms of MVAC; (2) a difference in the MVAC of within 5% for a TR scan of 1 min reconstructed with the OS-MRP-TR and a TR scan of 1 h reconstructed with the FBP algorithm; (3) effectiveness in noise reduction, particularly for low count statistics data [using a specific parameter configuration the TR images reconstructed with OS-MRP-TR(1 min) had a lower CV than the corresponding TR images of a 1-h scan reconstructed with the FBP algorithm]; (4) a difference of within 3% between the mean counts in the EM images attenuation corrected using the OS-MRP-TR images of 1 min and the mean counts in the EM images attenuation corrected using the OS-MRP-TR images of 1 h; (5) preservation of "good" image quality for both TR and EM reconstructed images. In conclusion, the OS-MRP-TR algorithm is particularly suitable for WB PET studies, allowing: (1) the acquisition of a very short TR scan (within 1 min), (2) the reconstruction of such TR data in low-noise TR images and (3) the use of the reconstructed OS-MRP-TR images for attenuation correction of corresponding EM data.
实现了一种基于中值根先验(MRP)和更新间中值滤波的有序子集(OS)重建算法,用于低计数统计传输(TR)扫描的重建。使用模拟正电子发射断层扫描(PET)全身(WB)研究的实验体模以及患者数据对OS-MRP-TR算法进行了评估。评估了各种实验条件,包括TR扫描时间(从1小时到1分钟),涵盖了广泛的TR计数统计范围。通过比较已知组织类型的衰减系数平均值(MVAC)以及用OS-MRP-TR算法重建的低计数TR图像的变异系数(CV)与用滤波反投影(FBP)算法重建的高计数TR图像获得的参考值,来评估该算法的性能。然后将重建的OS-MRP-TR图像用于相应发射(EM)数据的衰减校正。将用低计数统计的OS-MRP-TR图像生成的衰减校正重建的EM图像与使用参考(高统计)TR数据进行衰减校正的EM图像进行比较。在所有考虑的实验情况下,OS-MRP-TR算法显示出:(1)在MVAC方面有趋向稳定解的趋势;(2)用OS-MRP-TR重建的1分钟TR扫描与用FBP算法重建的1小时TR扫描的MVAC差异在5%以内;(3)在降噪方面有效,特别是对于低计数统计数据[使用特定参数配置,用OS-MRP-TR(1分钟)重建的TR图像的CV低于用FBP算法重建的1小时扫描的相应TR图像];(4)用1分钟的OS-MRP-TR图像进行衰减校正的EM图像中的平均计数与用1小时的OS-MRP-TR图像进行衰减校正的EM图像中的平均计数之间的差异在3%以内;(5)对于TR和EM重建图像都能保持“良好”的图像质量。总之,OS-MRP-TR算法特别适用于WB PET研究,允许:(1)采集非常短的TR扫描(在1分钟内),(2)在低噪声TR图像中重建此类TR数据,以及(3)使用重建的OS-MRP-TR图像对相应的EM数据进行衰减校正。