Image guided filter を用いたダイナミックPET画像のMAP画像再構成

抄録

In this paper, we proposed a guided-MAP（Maximum a Posterior）reconstruction method which introduced image-based dynamic image guided filter（IDIGF）as a prior and investigated an effect of a reduction in statistical noise. The IDIGF uses a static positron emission tomography（PET）image as the guidance image, acquiring the entire data from the start to end of the data acquisition. In the evaluation, dynamic PET simulation data was used, based on the glucose metabolism of [¹⁸F]FDG. As a result, the proposed method improved peak signal-to-noise ratio and structural similarity index in all of the time frames, compared to the other conventional methods. These results indicated that the proposed method can improve the quantitative accuracy of the dynamic PET images.