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首页> 外文期刊>IEEE Transactions on Medical Imaging >Direct Estimation of Voxel-Wise Neurotransmitter Response Maps From Dynamic PET Data
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Direct Estimation of Voxel-Wise Neurotransmitter Response Maps From Dynamic PET Data

机译：从动态PET数据直接估计Voxel-Wise神经递质反应图

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摘要

Computational methods, such as the linear parametric neurotransmitter PET (lp-ntPET) method, have been developed to characterize the transient changes in radiotracer kinetics in the target tissue during endogenous neurotransmitter release. In this paper, we describe and evaluate a parametric reconstruction algorithm that uses an expectation maximization framework, along with the lp-ntPET model, to estimate the endogenous neurotransmitter response to stimuli directly from the measured PET data. Computer simulations showed that the proposed direct reconstruction method offers improved accuracy and precision for the estimated timing parameters of the neurotransmitter response at the voxel level (t(d) = 1 +/- 2 min, for activation onset bias and standard deviation) compared with conventional post reconstruction modeling (t(d) = 4 +/- 7 min). In addition, we applied the proposed direct parameter estimation methodology to a [C-11]raclopride displacement study of an awake rat and generated parametric maps illustrating the magnitude of ligand displacement from striatum. Although the estimated parametric maps of activation magnitude obtained from both direct and post reconstruction methodologies suffered from false positive activations, the proposed direct reconstruction framework offered more reliable parametric maps when the activation onset parameter was constrained.
机译：已经开发了计算方法，例如线性参数神经递质PET（lp-ntPET）方法，以表征内源性神经递质释放过程中靶组织中放射性示踪剂动力学的瞬时变化。在本文中，我们描述和评估了一种参数重建算法，该算法使用期望最大化框架以及lp-ntPET模型，直接从测量的PET数据估算内源性神经递质对刺激的反应。计算机仿真表明，与之相比，所提出的直接重建方法在体素水平（t（d）= 1 +/- 2 min，对于激活起始偏差和标准偏差）估计的神经递质反应的时序参数方面具有更高的准确性和精度。传统的重建后建模（t（d）= 4 +/- 7分钟）。此外，我们将拟议的直接参数估计方法应用于清醒大鼠的[C-11] raclopride置换研究，并生成说明从纹状体的配体置换幅度的参数图。尽管从直接重建方法和后期重建方法获得的估计的激活幅度参数图都遭受假阳性激活，但是当激活开始参数受到约束时，建议的直接重建框架提供了更可靠的参数图。

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