Development of a chest digital tomosynthesis system for improvement of lung cancer detection

我们开发了添加到胸部数字断层合成图像中的波纹伪影减少处理，并进行了基础实验评估和临床评估，以检查波纹伪影减少处理的实用性。我们比较了胸部X线摄影图像的基础评价和临床评价（受试者操作特征曲线分析），能够显着提高结节的可检测性和特异性（p<0.0001）。

We developed the ripple-artifacts reduction processing which added to a chest digital tomosynthesis image and performed fundamental experiment evaluation and clinical evaluation to inspect utility of ripple-artifacts reduction processing. We compared with a chest radiography image from fundamental evaluation and clinical evaluation (receiver operative characteristic curve analysis) and were able to significantly improve nodule detectability and specificity (p<.0001).