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一种构建示踪剂特异性PET和SPECT大鼠脑模板的标准化方法:一个工具箱的验证与应用

A standardized method for the construction of tracer specific PET and SPECT rat brain templates: validation and implementation of a toolbox.

作者信息

Vállez Garcia David, Casteels Cindy, Schwarz Adam J, Dierckx Rudi A J O, Koole Michel, Doorduin Janine

机构信息

Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

Molecular Small Animal Imaging Center (MoSAIC), KU Leuven, Leuven, Belgium.

出版信息

PLoS One. 2015 Mar 30;10(3):e0122363. doi: 10.1371/journal.pone.0122363. eCollection 2015.

Abstract

High-resolution anatomical image data in preclinical brain PET and SPECT studies is often not available, and inter-modality spatial normalization to an MRI brain template is frequently performed. However, this procedure can be challenging for tracers where substantial anatomical structures present limited tracer uptake. Therefore, we constructed and validated strain- and tracer-specific rat brain templates in Paxinos space to allow intra-modal registration. PET [18F]FDG, [11C]flumazenil, [11C]MeDAS, [11C]PK11195 and [11C]raclopride, and SPECT [99mTc]HMPAO brain scans were acquired from healthy male rats. Tracer-specific templates were constructed by averaging the scans, and by spatial normalization to a widely used MRI-based template. The added value of tracer-specific templates was evaluated by quantification of the residual error between original and realigned voxels after random misalignments of the data set. Additionally, the impact of strain differences, disease uptake patterns (focal and diffuse lesion), and the effect of image and template size on the registration errors were explored. Mean registration errors were 0.70 ± 0.32 mm for [18F]FDG (n = 25), 0.23 ± 0.10mm for [11C]flumazenil (n = 13), 0.88 ± 0.20 mm for [11C]MeDAS (n = 15), 0.64 ± 0.28 mm for [11C]PK11195 (n = 19), 0.34 ± 0.15 mm for [11C]raclopride (n = 6), and 0.40 ± 0.13 mm for [99mTc]HMPAO (n = 15). These values were smallest with tracer-specific templates, when compared to the use of [18F]FDG as reference template (p<0.001). Additionally, registration errors were smallest with strain-specific templates (p<0.05), and when images and templates had the same size (p ≤ 0.001). Moreover, highest registration errors were found for the focal lesion group (p<0.005) and the diffuse lesion group (p = n.s.). In the voxel-based analysis, the reported coordinates of the focal lesion model are consistent with the stereotaxic injection procedure. The use of PET/SPECT strain- and tracer-specific templates allows accurate registration of functional rat brain data, independent of disease specific uptake patterns and with registration error below spatial resolution of the cameras. The templates and the SAMIT package will be freely available for the research community [corrected].

摘要

在临床前脑PET和SPECT研究中,通常无法获得高分辨率的解剖图像数据,因此经常进行到MRI脑模板的模态间空间归一化。然而,对于那些在大量解剖结构中示踪剂摄取有限的示踪剂,这个过程可能具有挑战性。因此,我们在帕西诺斯空间构建并验证了应变和示踪剂特异性大鼠脑模板,以实现模态内配准。从健康雄性大鼠获取了PET [18F]FDG、[11C]氟马西尼、[11C]MeDAS、[11C]PK11195和[11C]雷氯必利,以及SPECT [99mTc]HMPAO脑扫描图像。通过对扫描图像进行平均,并将其空间归一化到一个广泛使用的基于MRI的模板,构建了示踪剂特异性模板。通过量化数据集随机错位后原始体素和重新对齐体素之间的残余误差,评估了示踪剂特异性模板的附加值。此外,还探讨了应变差异、疾病摄取模式(局灶性和弥漫性病变)以及图像和模板大小对配准误差的影响。[18F]FDG(n = 25)的平均配准误差为0.70±0.32毫米,[11C]氟马西尼(n = 13)为0.23±0.10毫米,[11C]MeDAS(n = 15)为0.88±0.20毫米,[11C]PK11195(n = 19)为0.64±0.28毫米,[11C]雷氯必利(n = 6)为0.34±0.15毫米,[99mTc]HMPAO(n = 15)为0.40±0.13毫米。与使用[18F]FDG作为参考模板相比,使用示踪剂特异性模板时这些值最小(p<0.001)。此外,使用应变特异性模板时配准误差最小(p<0.05),并且当图像和模板大小相同时配准误差最小(p≤0.001)。此外,局灶性病变组的配准误差最高(p<0.005),弥漫性病变组的配准误差(p =无显著性差异)。在基于体素的分析中,局灶性病变模型报告的坐标与立体定向注射程序一致。使用PET/SPECT应变和示踪剂特异性模板可以准确配准功能性大鼠脑数据,与疾病特异性摄取模式无关,且配准误差低于相机的空间分辨率。这些模板和SAMIT软件包将免费提供给研究界[已校正]。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2584/4379068/a39b5b11a57d/pone.0122363.g001.jpg

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