Improvement of signal-to-noise and contrast-to-noise ratios in dual-screen computed radiography.
Improvement of signal-to-noise and contrast-to-noise ratios in dual-screen computed radiography.
复制标题
提高双屏计算机放射成像中的信噪比和对比度噪声比。
作者：
Shaw,CC;Wang,TP;Breitenstein,DS;Gur,D
为了改善和优化图像的整体信噪比(SNR)和对比度噪声比(CNR)，开发了一种双屏幕计算机射线成像(CR)技术。利用这种技术，两个CR屏幕一起曝光，并分别扫描以形成正面和背面图像。然后将这两幅图像叠加在一起，形成信噪比和噪声比都得到改善的图像。推导了信噪比和信噪比改善和优化的数学模型。在该模型的基础上，对前后图像按其信噪比平方进行加权，以优化合成图像的信噪比。在乳房摄影和胸部成像条件下进行了成像实验，验证了理论模型的正确性。计算结果与理论预测基本一致。还发现，信噪比的优化会导致近乎最优的信噪比，反之亦然。对于乳房X光成像，SNR提高了14%-22%，CNR提高了13%-19%。在胸部成像方面，SNR提高了31%-36%，CNR提高了28%-30%。
A dual‐screen computed radiography (CR) technique has been developed to improve and optimize the overall image signal‐to‐noise ratio (SNR) and contrast‐to‐noise ratio (CNR). With this technique, two CR screens are exposed together and separately scanned to form a front and a back image. These two images are then superimposed to form an image of improved SNR and CNR. A mathematical model has been derived to describe the improvement and optimization of the SNR and CNR. Based on this model, the front and back images should be weighted in proportion to their SNR squared to optimize the SNR of the composite image. Imaging experiments have been conducted to verify the theoretical model under mammographic and chest imaging conditions. The results largely agree with the theoretical predictions. It has also been found that optimization of the SNR results in nearly optimal CNR and vice versa. For mammographic imaging, a 14%–22% improvement in the SNR and a 13%–19% improvement in the CNR have been demonstrated. For chest imaging, a 31%–36% improvement in the SNR and a 28%–30% improvement in the CNR has been demonstrated.
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