Reducing the influence of the partial volume effect on SPECT activity quantitation with 3D modelling of spatial resolution in iterative reconstruction.

Reducing the influence of the partial volume effect on SPECT activity quantitation with 3D modelling of spatial resolution in iterative reconstruction.
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通过迭代重建中空间分辨率的 3D 建模,减少部分体积效应对 SPECT 活动定量的影响。

DOI:
10.1088/0031-9155/43/2/014
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发表时间:
1998
影响因子:
3.5
通讯作者:
Byrne,CL
Byrne,CL
中科院分区:
工程技术2区
文献类型:
--
作者:
Pretorius,PH;King,MA;Pan,TS;deVries,DJ;Glick,SJ;Byrne,CL

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定量参数,如体积中的最大计数和总计数受部分体积效应的影响。这种影响的大小随着SPECT切片中的非平稳和各向异性空间分辨率而变化。本研究的目的是确定与滤波反投影(FBP)技术(包括低通和使用频率距离关系(FDR)的线性恢复滤波)相比,包括SPECT成像三维(3D)空间分辨率建模的迭代重建是否可以减少部分容积效应对活性定量的影响。研究的迭代重建算法是最大似然期望最大化(MLEM),MLEM与有序子集加速(ML-OS),MLEM与加速的重新缩放块迭代技术(ML-RBI)。SIMIND蒙特卡罗程序被用来模拟小的热球形物体在一个椭圆柱体与不均匀的背景活动成像的低能量超高分辨率(LEUHR)准直器。将中心计数比(CCR)和总计数比(TCR)确定为观察到的计数与真实计数的比值。对于所有迭代技术,CCR不稳定,而TCR的偏倚为。ML-OS和ML-RBI的TCR的方差明显高于MLEM,ML-RBI的升高较小。用FDR-Wiener滤波获得的TCR比任何迭代重建方法都有更大的偏差,但也达到了近平稳性。从中心到边缘,巴特沃思过滤结果变化9.7%。背景的添加会影响迭代技术的收敛速度和噪声特性。
Quantitative parameters such as the maximum and total counts in a volume are influenced by the partial volume effect. The magnitude of this effect varies with the non-stationary and anisotropic spatial resolution in SPECT slices. The objective of this investigation was to determine whether iterative reconstruction which includes modelling of the three-dimensional (3D) spatial resolution of SPECT imaging can reduce the impact of the partial volume effect on the quantitation of activity compared with filtered backprojection (FBP) techniques which include low-pass, and linear restoration filtering using the frequency distance relationship (FDR). The iterative reconstruction algorithms investigated were maximum-likelihood expectation-maximization (MLEM), MLEM with ordered subset acceleration (ML-OS), and MLEM with acceleration by the rescaled-block-iterative technique (ML-RBI). The SIMIND Monte Carlo code was used to simulate small hot spherical objects in an elliptical cylinder with and without uniform background activity as imaged by a low-energy ultra-high-resolution (LEUHR) collimator. Centre count ratios (CCRs) and total count ratios (TCRs) were determined as the observed counts over true counts. CCRs were unstable while TCRs had a bias of for all iterative techniques. The variance in the TCRs for ML-OS and ML-RBI was clearly elevated over that of MLEM, with ML-RBI having the smaller elevation. TCRs obtained with FDR-Wiener filtering had a larger bias than any of the iterative reconstruction methods but near stationarity is also reached. Butterworth filtered results varied by 9.7% from the centre to the edge. The addition of background has an influence on the convergence rate and noise properties of iterative techniques.
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DOI: --
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