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Investigation of effects of volume-of-interest mis-registration on accuracy of organ activity estimates obtained with quantitative planar processing

机译:对数量估计对数量平面加工获得的器官活动估算准确性的影响研究

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In targeted radionuclide therapy (TRT), dose estimation is essential for treatment planning and tumor dose response studies. Dose estimates are typically based on whole body conjugate view planar or SPECT imaging of the patient after administration of a planning dose. Quantifying the activity in the organs from these studies is an essential part of dose estimation.The Quantitative Planar (QPlanar) processing method involves both accurate compensation for image degrading factors and correction of overlap from background and organs. It thus provides more accurate activity estimates than traditional planar activity estimation methods. However, alignment between the 3D organ volume of interest (VOIs) used in QPlanar processing and the true organ projections in the planar images is required in this method. The goal of this research was to study the effects of misregistration of VOIs on the accuracy and precision of organ activity estimates obtained using the QPlanar method. In this work, we modeled the degree of mis-registration that would be expected clinically. Mutual information based image registration was implemented to align realistic simulated 3D SPECT images that can be used to define 3D organ VOIs with 2D planar images. The resulting model of image mis-registration was applied to study the effects of mis-registration on the QPlanar method.
机译:在靶向放射性核素治疗(TRT)中,剂量估计对于治疗计划和肿瘤剂量反应研究至关重要。剂量估计通常基于患者在施用计划剂量后的全身共轭视图平面或SPECT成像。量化来自这些研究的器官中的活性是剂量估计的重要组成部分。定量平面(QPLanar)处理方法涉及图像劣化因子和从背景和器官重叠的校正。因此,它提供比传统的平面活动估计方法更准确的活动估计。然而,在该方法中需要在QPlanar处理中使用的感兴趣的3D器官(VoIS)与平面图像中的真实器官投影之间的对准。本研究的目标是研究vois误解对使用QPLanar方法获得的器官活动估计的准确性和精度的影响。在这项工作中,我们建模了临床预期的误报程度。实现了相互信息的图像配准,以对准可用于定义具有2D平面图像的3D器官VoIS的真实模拟的3D SPECT图像。应用了所得图像误报模型来研究误报对QPLanar方法的影响。

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