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Evaluation of a Wobbling Method Applied to Correcting Defective Pixels of CZT Detectors in SPECT Imaging

机译:用于校正SPECT成像中CZT检测器缺陷像素的摆动方法的评估

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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.
机译:在本文中,我们提出了一种使用相关图像信息来校正碲化镉锌(CZT)检测器中不良像素的摆动方法。我们建立了一个自动化设备,可以实现对小动物单光子发射计算机断层扫描(SPECT)成像的抖动校正。摆动校正方法被应用于缺陷像素的各种星座。将校正后的图像与常规插值方法的结果进行比较,并使用峰值信噪比(PSNR)和结构相似度(SSIM)因子定量评估校正效果。总而言之,所提出的配备有自动机械系统的摆动方法为校正缺陷像素提供了更好的图像质量,可以将其用于分子成像的所有像素化探测器。

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