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Weighted MRI-Based Bowsher Priors for SPECT Brain Image Reconstruction

机译:基于加权MRI的Bowsher Priors用于SPECT脑图像重建

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This paper presents a generalization of the Bowsher prior for SPECT reconstruction using anatomical prior. Instead of considering a binary selection of the neighbors of each reconstructed voxel based on the anatomical prior values, each neighbors are taken into account with a suitable weight. We tried three different weights. We showed that, for brain SPECT reconstruction using MRI, in the case of perfect registration, the weighted Bowsher prior give similar results to the regular Bowsher prior. In the case of misregistration, the weighted Bowsher prior outperforms the Bowsher prior.
机译:本文在使用解剖学之前,本文在SPECT重建之前展示了Bowsher。基于解剖学现有值,而不是考虑每个重建的体素的邻居的二进制选择,而是用合适的重量考虑每个邻居。我们尝试了三种不同的权重。我们认为,对于使用MRI的大脑SPECT重建,在完美的注册的情况下,加权Bowsher先前将与常规Bowsher一起给予类似的结果。在误解的情况下,加权Bowsher先前始终倾向于Bowsher。

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