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Imaging D2-dopamine receptor concentration in non-human primate brain using 18F-fallypride

机译: 18 F-fallypride对非人类灵长类动物脑中D2-多巴胺受体浓度的成像

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In this paper, we demonstrate how to form images of D2-dopamine receptor concentration in the brain with positron emission tomography (PET). Quantification of receptor sites within the brain is required to understand aging, diseases such as Alzheimer, and drug addiction. This quantification is performed by acquiring dynamic PET data and analyzing the tracer kinetics from the reconstructed emission data. The signal-to-noise ratio (SNR) of the reconstructed dynamic PET data is generally so low that region of interest (ROI) analysis is required to have accurate quantification. ROI analysis produces a single value of receptor concentration for each region in the brain. We recently show that it is possible to form parametric images directly from the acquired sinogram data [1]. Elimination of intermediate steps and direct reconstruction of parameters from sinograms allowed us to form dense images of parameters of interest. In this paper, we applied the direct parametric reconstruction algorithm to form images of D2-dopamine receptor concentration within monkey brain using F-fallypride radiotracer. Our initial investigations show that our D2 receptor images are consistent with the results of the classical ROI analysis.
机译:在本文中,我们演示了如何使用正电子发射断层扫描(PET)形成大脑中D2-多巴胺受体浓度的图像。要了解衰老,疾病(例如老年痴呆症)和药物成瘾,需要对大脑内的受体部位进行定量分析。通过获取动态PET数据并从重建的排放数据中分析示踪剂动力学来执行此量化。重建的动态PET数据的信噪比(SNR)通常很低,以至于需要对感兴趣区域(ROI)进行分析以进行准确的定量。 ROI分析会为大脑中的每个区域生成一个单一的受体浓度值。我们最近表明,有可能直接从获取的正弦图数据中形成参数图像[1]。消除中间步骤并从正弦图中直接重建参数,使我们能够形成感兴趣参数的密集图像。在本文中,我们应用直接参数重建算法,使用F-fallypride放射性示踪剂在猴脑中形成D2-多巴胺受体浓度的图像。我们的初步研究表明,我们的D2受体图像与经典ROI分析的结果一致。

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