Wavelet-based resolution recovery using an anatomical prior provides quantitative recovery for human population phantom PET [11C]raclopride data
Wavelet-based resolution recovery using an anatomical prior provides quantitative recovery for human population phantom PET [11C]raclopride data
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使用解剖先验的基于小波的分辨率恢复为人群模型 PET [11C]雷氯必利数据提供定量恢复
DOI：
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发表时间：
2011
期刊：
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通讯作者：
F. E. Turkheimer
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作者：
Miho Shidahara;C. Tsoumpas;C. McGinnity;Takashi Kato;Hajime Tamura;Alexander Hammers;Hiroshi Watabe;F. E. Turkheimer
本研究的目的是使用各种模拟人脑[11 C]雷氯必利正电子发射断层扫描（PET）图像评价分辨率恢复（RR）方法。15个数字人体模型的模拟数据集进行了处理，基于小波的RR方法使用解剖前。解剖先验是混合分割图谱的形式，其结合了用于解剖标记的图谱和用于每个解剖结构的功能标记的PET图像。我们将RR应用于60分钟静态和动态PET图像。在84个区域中量化恢复，比较模拟的典型“真”值，如在正常受试者、模拟和RR PET图像中获得的。白色物质、纹状体和其他皮质区域的放射性浓度成功恢复了所有15个人体体模的60 min静态图像;由于用于数据模拟和恢复的两个图谱之间不匹配，检索丘脑底核的技术难度证明了解决方案对准确解剖信息的依赖性。分辨率恢复的结构和功能协同作用（SFS-RR）改善了尾状核和壳核（主要感兴趣区域）的定量，对于60 min静态图像，分别从-30.1%和-26.2%提高到-17.6%和-15.1%;对于结合电位（BPND）图像，分别从-51.4%和-38.3%提高到-27.6%和-20.3%。所提出的方法被证明在脑[11 C]雷氯必利PET图像中小结构的RR中有效。只要提供准确的解剖分割，模拟人群的解剖变异性的改善是一致的。
The objective of this study was to evaluate a resolution recovery (RR) method using a variety of simulated human brain [11C]raclopride positron emission tomography (PET) images. Simulated datasets of 15 numerical human phantoms were processed by a wavelet-based RR method using an anatomical prior. The anatomical prior was in the form of a hybrid segmented atlas, which combined an atlas for anatomical labelling and a PET image for functional labelling of each anatomical structure. We applied RR to both 60 min static and dynamic PET images. Recovery was quantified in 84 regions, comparing the typical ‘true’ value for the simulation, as obtained in normal subjects, simulated and RR PET images. The radioactivity concentration in the white matter, striatum and other cortical regions was successfully recovered for the 60 min static image of all 15 human phantoms; the dependence of the solution on accurate anatomical information was demonstrated by the difficulty of the technique to retrieve the subthalamic nuclei due to mismatch between the two atlases used for data simulation and recovery. Structural and functional synergy for resolution recovery (SFS-RR) improved quantification in the caudate and putamen, the main regions of interest, from −30.1% and −26.2% to −17.6% and −15.1%, respectively, for the 60 min static image and from −51.4% and −38.3% to −27.6% and −20.3% for the binding potential (BPND) image, respectively. The proposed methodology proved effective in the RR of small structures from brain [11C]raclopride PET images. The improvement is consistent across the anatomical variability of a simulated population as long as accurate anatomical segmentations are provided.