迭代重建在前列腺CT成像中的应用研究

Application of iterative reconstruction in CT imaging of the prostate

目的:探讨迭代重建在前列腺CT检查中的临床应用价值。方法:接受腹部CT增强扫描的男性患者4例入组,对增强图像进行滤波反投影重建(FBP)、30%、50%、80%及100%自适应统计迭代重建(ASIR)和基于模型的迭代重建(MBIR),对这6种图像的噪声、图像质量、前列腺对比噪声比(CNR),使用方差分析进行统计学分析。结果:MBIR图像的噪声最低,主观评分最高,且前列腺外周带的CNR最高,与其它图像相比差异有统计学意义(P<0.05)。结论:MBIR有提高前列腺图像质量、进一步显示更多解剖细节的潜在价值。

Objective：To explore the value of adaptive statistical iterative reconstruction （ASIR） and model-based iterative reconstruction （MBIR） in improving prostate imaging. Methods：Four male patients receiving abdominal CT examination with contrast enhancement were enrolled. The enhanced images were reconstructed with filter back projection,30%, 50% ,80% and 100%ASIR and MBIR algorithm respectively. And the image noises were measured. Contrast-to-noise ratio （CNR）of prostate was assessed. Image quality was assessed using a 6-point scale. Results： The image noise of MBIR was the lowest, and the image quality and the CNR of peripheral zone were the highest. Conclusion： MBIR has potential ability in improving image quality of the prostate in the future.