基于迭代反褶积和shearlet变换的PET图像局部体积效应校正

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI:10.1109/ATSIP.2018.8364522

Hajer Jomaa, R. Mabrouk, Nawrès Khlifa

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引用次数: 2

摘要

部分体积效应(PVE)是影响正电子发射断层扫描(PET)图像的一种退化现象。这种限制是由于组织分数效应和有限的空间分辨率的PET图像。本文提出了一种基于迭代反褶积和shearlet变换的校正方法。这一发现的目的是克服Lucy-Richardson反卷积算法(LRD)引起的噪声放大。为了降低LRD产生的噪声水平，采用了基于shearlet变换的正则化步骤。该方法提供了良好的信噪比改善，并取得了显著的强度恢复。

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Partial volume effect correction in PET image using iterative deconvolution and shearlet transform

The partial volume effect (PVE) is a degradation affected the positron emission tomography (PET) images. This limitation is due to the tissue fraction effect and the limited spatial resolution of the PET image. Here, we present a new correction method based on iterative deconvolution and shearlet transform. The purpose of this findig is to overcome the amplification of noise caused by the Lucy-Richardson deconvolution algorithm (LRD). A regularization step based on a shearlet transform was used in order to reduce the noise level generated by LRD. The method provided good SNR improvements and achieved a notable intensity recovery.

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2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)

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