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Correction for partial volume effect in PET blood flow images

机译:校正PET血流图像中的部分体积效应

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Abstract: Current positron emission tomography techniques for the measurement of cerebral blood flow assume that voxels represent pure material regions. In this work, a method is presented which utilizes anatomical information from a high resolution modality such as MRI in conjunction with a multicompartment extension of the Kety model to obtain intravoxel, tissue specific blood flow values. In order to evaluate the proposed method, noisy time activity curves (TACs) were simulated representing different combinations of gray matter, white matter and CSF, and ratios of gray to white matter blood flow. In all experiments it was assumed that registered MR data supplied the number of materials and the fraction of each present. For each TAC, three experiments were run. In the first it was assumed that the fraction of each material determined by MRI was correct, and, in the second two, that the value was either too high or too low. Using the tree annealing method, material flows were determined which gave the best fit of the model to the simulated TAC data. The results indicate that the accuracy of the method is approximately linearly related to the error in material fraction estimated for a voxel.!25
机译:摘要:当前用于测量脑血流量的正电子发射断层扫描技术假定体素代表纯物质区域。在这项工作中,提出了一种方法,该方法利用来自高分辨率模式(例如MRI)的解剖学信息结合Kety模型的多室扩展来获得体素内组织特异性血流值。为了评估所提出的方法,模拟了噪声时间活动曲线(TAC),这些曲线表示灰质,白质和CSF的不同组合,以及灰与白质血流的比率。在所有实验中,都假定注册的MR数据提供了材料的数量以及每种材料的分数。对于每个TAC,都要进行三个实验。在第一个中,假定通过MRI确定的每种材料的分数是正确的,在第二个中,假定该值太高或太低。使用树形退火方法,确定了材料流,该材料流使模型与模拟TAC数据最匹配。结果表明,该方法的准确性与体素估计的材料分数的误差近似线性相关!25

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