论文标题
使用微CT体积的修饰自行车的临床CT体积的超分辨率
Super-resolution of clinical CT volumes with modified CycleGAN using micro CT volumes
论文作者
论文摘要
本文提出了一种超分辨率（SR）方法，其中包含临床CT和微CT体积的未配对培训数据集。为了获得非常详细的信息，例如肺癌患者的术前临床CT体积的癌症入侵，需要临床CT量的SR至$ \ m $ $} CT水平。尽管大多数SR方法都需要配对的低分辨率图像进行训练，但获得配对的临床CT和μCT体积是不可行的。我们提出了一种基于CycleGAN的SR方法，该方法可以在临床CT上执行SR，以$μ$ CT水平。我们提出了新的损失功能，以保持周期一致性，而训练没有配对量。实验结果表明，我们提出的方法成功地将肺癌患者的临床CT体积SR分为$ $ $ CT水平。
This paper presents a super-resolution (SR) method with unpaired training dataset of clinical CT and micro CT volumes. For obtaining very detailed information such as cancer invasion from pre-operative clinical CT volumes of lung cancer patients, SR of clinical CT volumes to $\m$}CT level is desired. While most SR methods require paired low- and high- resolution images for training, it is infeasible to obtain paired clinical CT and μCT volumes. We propose a SR approach based on CycleGAN, which could perform SR on clinical CT into $μ$CT level. We proposed new loss functions to keep cycle consistency, while training without paired volumes. Experimental results demonstrated that our proposed method successfully performed SR of clinical CT volume of lung cancer patients into $μ$CT level.
