Advanced quantitative evaluation of PET systems using the ACR phantom and NiftyPET software.
Advanced quantitative evaluation of PET systems using the ACR phantom and NiftyPET software.
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DOI：
10.1002/mp.15596
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发表时间：
2022-05
期刊：
影响因子：
3.8
通讯作者：
Barkhof, F.
中科院分区：
文献类型：
--
作者：
Markiewicz, Pawel J.;da Costa-Luis, Casper;Dickson, J.;Barnes, A.;Krokos, G.;MacKewn, J.;Clark, T.;Wimberley, C.;MacNaught, G.;Yaqub, M. M.;Gispert, J. D.;Hutton, B. F.;Marsden, P.;Hammers, A.;Reader, A. J.;Ourselin, S.;Herholz, K.;Matthews, J. C.;Barkhof, F.
提出了一种新型体模成像平台，一套软件工具，用于PET/磁共振（PET/MR）和PET/计算机断层扫描（PET/CT）系统的美国放射学会（ACR）正电子发射断层扫描（PET）体模的自动化和高精度成像。该平台的关键特征是矢量图形设计，该设计有助于自动测量刀口响应函数，从而使用0.5 mm分辨率网格中的复合感兴趣体积模板自动测量图像分辨率，该网格应用于体模的所有插入物。此外，所提出的平台能够使用专门设计的PET模板，基于两阶段图像配准生成PET/MR系统的精确标测图，并具有强大的对齐能力。所提出的平台基于开源NiftyPET软件包，该软件包用于生成多个列表模式数据引导实现和图像重建，以确定两阶段配准和任何图像衍生统计的精度。对于所有分析，使用和不使用建模的平移不变点扩散函数以及有序子集期望最大化（OSEM）算法的不同迭代进行迭代图像重建。使用两次采集（每次30 min）评估视野（FOV）外活动的影响，有和没有FOV外活动。通过提供标准和高级体模分析，包括使用所有圆柱形插入物估计空间分辨率，证明了平台的实用性。在靠近轴向FOV边缘的成像平面中，我们观察到定量准确度的恶化、分辨率降低（FWHM增加1-2 mm）、对比度降低以及由于FOV外的活动导致的背景均匀性。虽然它减缓了收敛，PSF重建对分辨率和对比度恢复有积极的影响，但改善的程度取决于区域。基于原始PET数据的自举响应的不确定性分析表明两阶段配准的精度较高。我们证明，使用所提出的方法与空间分辨率和多个引导实现的度量的体模成像可能有助于更准确地评估PET系统，以及促进微调PET/MR和PET/CT临床研究中的最佳成像参数。
A novel phantom‐imaging platform, a set of software tools, for automated and high‐precision imaging of the American College of Radiology (ACR) positron emission tomography (PET) phantom for PET/magnetic resonance (PET/MR) and PET/computed tomography (PET/CT) systems is proposed. The key feature of this platform is the vector graphics design that facilitates the automated measurement of the knife‐edge response function and hence image resolution, using composite volume of interest templates in a 0.5 mm resolution grid applied to all inserts of the phantom. Furthermore, the proposed platform enables the generation of an accurate ‐map for PET/MR systems with a robust alignment based on two‐stage image registration using specifically designed PET templates. The proposed platform is based on the open‐source NiftyPET software package used to generate multiple list‐mode data bootstrap realizations and image reconstructions to determine the precision of the two‐stage registration and any image‐derived statistics. For all the analyses, iterative image reconstruction was employed with and without modeled shift‐invariant point spread function and with varying iterations of the ordered subsets expectation maximization (OSEM) algorithm. The impact of the activity outside the field of view (FOV) was assessed using two acquisitions of 30 min each, with and without the activity outside the FOV. The utility of the platform has been demonstrated by providing a standard and an advanced phantom analysis including the estimation of spatial resolution using all cylindrical inserts. In the imaging planes close to the edge of the axial FOV, we observed deterioration in the quantitative accuracy, reduced resolution (FWHM increased by 1–2 mm), reduced contrast, and background uniformity due to the activity outside the FOV. Although it slows convergence, the PSF reconstruction had a positive impact on resolution and contrast recovery, but the degree of improvement depended on the regions. The uncertainty analysis based on bootstrap resampling of raw PET data indicated high precision of the two‐stage registration. We demonstrated that phantom imaging using the proposed methodology with the metric of spatial resolution and multiple bootstrap realizations may be helpful in more accurate evaluation of PET systems as well as in facilitating fine tuning for optimal imaging parameters in PET/MR and PET/CT clinical research studies.
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影响因子：
3.8
作者：
Ulrich EJ;Sunderland JJ;Smith BJ;Mohiuddin I;Parkhurst J;Plichta KA;Buatti JM;Beichel RR
通讯作者：
Beichel RR
影响因子：
3.5
作者：
Garyfallidis E;Brett M;Amirbekian B;Rokem A;van der Walt S;Descoteaux M;Nimmo-Smith I;Dipy Contributors
通讯作者：
Dipy Contributors
影响因子：
5.7
作者：
Markiewicz PJ;Matthews JC;Ashburner J;Cash DM;Thomas DL;De Vita E;Barnes A;Cardoso MJ;Modat M;Brown R;Thielemans K;da Costa-Luis C;Lopes Alves I;Gispert JD;Schmidt ME;Marsden P;Hammers A;Ourselin S;Barkhof F
通讯作者：
Barkhof F
DOI：
10.1007/s00259-002-0796-3
发表时间：
2002-07-01
影响因子：
9.1
作者：
Burger, C;Goerres, G;von Schulthess, GK
通讯作者：
von Schulthess, GK
影响因子：
1.3
作者：
KESSLER, RM;ELLIS, JR;EDEN, M
通讯作者：
EDEN, M