Xie Zhaoheng, Li Suying, Yang Kun, Xu Baixuan, Ren Qiushi
Department of Biomedical Engineering, Peking University, No. 5, Yiheyuan Road, Beijing 100871, China.
Department of Control Technology and Instrument, Hebei University, No. 180, Wusi East Road, Baoding 071000, China.
Sensors (Basel). 2016 May 27;16(6):772. doi: 10.3390/s16060772.
In this paper, we propose a wobbling method to correct bad pixels in cadmium zinc telluride (CZT) detectors, using information of related images. We build up an automated device that realizes the wobbling correction for small animal Single Photon Emission Computed Tomography (SPECT) imaging. The wobbling correction method is applied to various constellations of defective pixels. The corrected images are compared with the results of conventional interpolation method, and the correction effectiveness is evaluated quantitatively using the factor of peak signal-to-noise ratio (PSNR) and structural similarity (SSIM). In summary, the proposed wobbling method, equipped with the automatic mechanical system, provides a better image quality for correcting defective pixels, which could be used for all pixelated detectors for molecular imaging.
在本文中，我们提出了一种利用相关图像信息来校正碲锌镉（CZT）探测器中坏像素的摆动方法。我们构建了一种自动化设备，该设备可实现对小动物单光子发射计算机断层扫描（SPECT）成像的摆动校正。摆动校正方法适用于各种缺陷像素组合。将校正后的图像与传统插值方法的结果进行比较，并使用峰值信噪比（PSNR）和结构相似性（SSIM）因子对校正效果进行定量评估。总之，所提出的摆动方法与自动机械系统相结合，可为校正缺陷像素提供更好的图像质量，该方法可用于所有用于分子成像的像素化探测器。
