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Accurate image reconstruction with the source space tree algorithm (SSTA) for Compton CT

机译:使用Compton CT的源空间树算法(SSTA)进行精确的图像重建

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This paper describes a new method for reconstructing an accurate image with a Compton camera. In the backprojection of Compton CT data with the source space tree algorithm (SSTA) we have to decide on octants intersecting the cone surface. With the conventional algorithm this judgement was sometimes incorrect and this caused artifacts on a reconstructed image. The proposed method is not based on the critical radius as is used in the conventional SSTA, but on the octant itself. Thus the algorithm produces correctly tagged octants and no artifact in a reconstructed image. Results obtained by simulations showed the performance of the proposed method.
机译:本文介绍了一种使用康普顿相机重建准确图像的新方法。在使用源空间树算法(SSTA)对康普顿CT数据进行反投影时,我们必须确定与圆锥面相交的八分圆。使用常规算法,这种判断有时是不正确的,这会在重建的图像上造成伪像。所提出的方法不是基于常规SSTA中使用的临界半径,而是基于八分圆符本身。因此,该算法在重建的图像中产生正确标记的八分圆且没有伪像。通过仿真获得的结果表明了该方法的性能。

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