Turkheimer FE.Wavelet-based resolution recovery using an anatomical prior provides quantitative recovery for human population phantom PET [C-11]raclopride data.
Turkheimer FE.Wavelet-based resolution recovery using an anatomical prior provides quantitative recovery for human population phantom PET [C-11]raclopride data.
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Turkheimer FE.使用解剖先验的基于小波的分辨率恢复为人群模型 PET [C-11]雷氯必利数据提供定量恢复。
DOI：
10.1088/0031-9155/57/10/3107
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Watabe H
中科院分区：
文献类型：
--
作者：
Shidahara M;Tsoumpas C;McGinnity CJ;Kato T;Tamura H;Hammers A;Watabe H
本研究的目的是利用各种模拟人脑[11 C]的raclopride正电子发射断层扫描（PET）图像来评估分辨率恢复（RR）方法。采用基于小波的RR方法，利用解剖学先验对15个数值人体模型的模拟数据集进行了处理。解剖先验是混合分割图谱的形式，它结合了用于解剖标记的图谱和用于每个解剖结构功能标记的PET图像。我们将RR应用于60分钟静态和动态PET图像。对84个区域的恢复进行量化，比较正常受试者、模拟和RR PET图像中模拟的典型“真实”值。在60 min静态图像中成功恢复了所有15个人的脑白质、纹状体和其他皮层区域的放射性浓度；由于用于数据模拟和恢复的两个地图集不匹配，该技术难以检索丘脑下核，这证明了该解决方案对准确解剖信息的依赖性。分辨率恢复（SFS-RR）的结构和功能协同作用提高了尾状核和壳核（主要感兴趣的区域）的定量，在60分钟静态图像中分别从- 30.1%和- 26.2%提高到- 17.6%和- 15.1%，在结合电位（BP ND）图像中分别从- 51.4%和- 38.3%提高到- 27.6%和- 20.3%。所提出的方法在脑部小结构的RR中被证明是有效的[11 C]。只要提供准确的解剖分割，这种改进在模拟种群的解剖变异性上是一致的。
The objective of this study was to evaluate a resolution recovery (RR) method using a variety of simulated human brain [11 C] 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 (BP ND) image, respectively. The proposed methodology proved effective in the RR of small structures from brain [11 C] raclopride PET images. The improvement is consistent across the anatomical variability of a simulated population as long as accurate anatomical segmentations are provided.