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首页> 外文期刊>IEEE Transactions on Medical Imaging >Restoration of gamma camera-based nuclear medicine images
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Restoration of gamma camera-based nuclear medicine images

机译：基于伽马相机的核医学图像的恢复

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Experiments were conducted using a Siemens Rota camera to study the applicability of two linear shift-invariant (LSI) filters, namely, the Wiener and power spectrum equalization filters, for restoration of planar projections and single-photon-emission computed tomography (SPECT) images. In the restoration scheme, the system transfer function, computed from a line source image, is modeled by a 2-D Gaussian function. The noise power spectrum is modeled as a constant for planar images and as a ramp for SPECT images. The filters have been applied to restore computer-simulated 1-D and 2-D projections and SPECT images of two simple phantoms, 2-D projections of two phantoms obtained from the Siemens Rota camera, and SPECT images of a cardiac phantom obtained from the Siemens Rota camera. The filters are shown to perform partial restoration. Considerable noise suppression and detail enhancement have been observed in the restored images. quantitative measurements such as root-mean-squared error and contrast ratio have been used for objective analysis of the results, which are encouraging.
机译：使用西门子Rota相机进行了实验，研究了两个线性位移不变（LSI）滤波器（即维纳和功率谱均衡滤波器）的适用性，以恢复平面投影和单光子发射计算机断层摄影（SPECT）图像。在恢复方案中，由线源图像计算出的系统传递函数由二维高斯函数建模。噪声功率谱被建模为平面图像的常数和SPECT图像的斜坡。这些滤镜已应用于恢复计算机模拟的两个简单体模的1-D和2-D投影和SPECT图像，从Siemens Rota相机获得的两个体模的2-D投影以及从人体模型获得的心脏体模的SPECT图像。西门子Rota相机。所示的过滤器可以执行部分​​还原。在恢复的图像中已经观察到相当多的噪声抑制和细节增强。诸如均方根误差和对比度之类的定量测量已用于结果的客观分析，这令人鼓舞。

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