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MR–Consistent Simultaneous Reconstruction of Attenuation and Activity for Non–TOF PET/MR

机译:MR –对非TOF PET / MR进行衰减和活性的同时同步重建

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摘要

Attenuation correction (AC) is required for accurate quantification of the reconstructed activity distribution in positron emission tomography (PET). For simultaneous PET/magnetic resonance (MR), however, AC is challenging, since the MR images do not provide direct information on the attenuating properties of the underlying tissue. Standard MR–based AC does not account for the presence of bone and thus leads to an underestimation of the activity distribution. To improve quantification for non–time–of–flight PET/MR, we propose an algorithm which simultaneously reconstructs activity and attenuation distribution from the PET emission data using available MR images as anatomical prior information. The MR information is used to derive voxel–dependent expectations on the attenuation coefficients. The expectations are modeled using Gaussian–like probability functions. An iterative reconstruction scheme incorporating the prior information on the attenuation coefficients is used to update attenuation and activity distribution in an alternating manner. We tested and evaluated the proposed algorithm for simulated 3D PET data of the head and the pelvis region. Activity deviations were below 5% in soft tissue and lesions compared to the ground truth whereas standard MR–based AC resulted in activity underestimation values of up to 12%.
机译:需要精确校正(AC)才能对正电子发射断层扫描(PET)中重建的活动分布进行准确定量。然而,对于同时的PET /磁共振(MR),AC具有挑战性,因为MR图像不能提供有关下层组织衰减特性的直接信息。基于MR的标准AC不能解释骨骼的存在,因此会导致对活动分布的低估。为了改善非飞行时间PET / MR的量化,我们提出了一种算法,该算法使用可用的MR图像作为解剖先验信息,同时从PET发射数据中重建活性和衰减分布。 MR信息用于得出衰减系数的体素相关期望。使用类似于高斯的概率函数对期望进行建模。包含有关衰减系数的先验信息的迭代重建方案用于以交替方式更新衰减和活动分布。我们测试和评估了所提出的算法,用于模拟头部和骨盆区域的3D PET数据。与地面事实相比,软组织和病变的活动偏差低于5%,而基于MR的标准AC导致活动低估值高达12%。

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