Effects of attenuation correction and 3D-reconstruction algorithms on brain lesions detectability

H. Baghaei, J. Uribe, Hongdi Li, Yu Wang, Yaqiang Liu, T. Xing, R. Farrell, W. Wong
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Abstract

We compared lesion detectability in the brain images reconstructed with the three-dimensional (3-D) reprojection algorithm, with and without attenuation correction, and with the 3-D ordered subsets expectation maximization (OSEM) algorithm with and without post-filtering. For this purpose, three small lesion phantoms with diameters of 3, 5 and 8.6 mm were embedded into the Hoffman brain phantom. The approximate ratio of the activity concentration in the lesions to the surrounding brain gray matter was ranging from 1.5 to 10. We used the high-resolution MDAPET, a prototype 3D-PET camera, to scan the phantoms.
衰减校正和3d重建算法对脑损伤可检测性的影响
我们比较了用三维(3-D)重投影算法重建的脑图像,在有和没有衰减校正的情况下,以及用有和没有后滤波的3-D有序子集期望最大化(OSEM)算法重建的脑图像中的病灶可检测性。为此,我们将3个直径分别为3、5和8.6 mm的小病变假体嵌入Hoffman脑假体中。病灶内活动浓度与周围脑灰质的比值约为1.5 ~ 10。我们使用高分辨率MDAPET,一种3D-PET相机的原型,来扫描这些幽灵。
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