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SPECT reconstruction of combined cone beam and parallel hole collimation with experimental data

机译:锥束与平行孔准直组合的SPECT重建与实验数据

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摘要

Three methods for combining parallel and cone beam (P&CB) SPECT data using modified maximum-likelihood expectation-maximization (ML-EM) algorithms are presented. The first method applies both parallel and cone beam data sets to reconstruct a single intermediate image after each iteration using the ML-EM algorithm. The other two are iterative methods that combine the intermediate parallel beam and cone beam source estimates to enhance the uniformity of images. These two methods are ad hoc methods. These combined collimation methods are qualitatively evaluated using experimental data. Attenuation compensation is performed by including the effects of attenuation in the transition matrix as a multiplicative factor. The results indicate that the combined P&CB approaches suppress artifacts caused by truncated projections and corrects for th distortions of the CB-only images.
机译:提出了三种使用改进的最大似然期望最大化(ML-EM)算法组合平行和锥形束(P&CB)SPECT数据的方法。第一种方法是使用ML-EM算法,在每次迭代后应用平行和锥形束数据集来重建单个中间图像。另外两种是迭代方法,将中间平行光束和锥形光束源估计结合起来以增强图像的均匀性。这两种方法是临时方法。使用实验数据对这些组合的准直方法进行定性评估。衰减补偿是通过将过渡矩阵中的衰减影响作为乘数来进行的。结果表明,组合的P&CB方法可抑制由截断的投影引起的伪影,并校正仅CB图像的失真。

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