We present a detailed description and reference implementation of preprocessing steps necessary to prepare the public Retrospective Image Registration Evaluation (RIRE) dataset for the task of magnetic resonance imaging (MRI) to X-ray computed tomography (CT) translation. Furthermore we describe and implement three state of the art convolutional neural network (CNN) and generative adversarial network (GAN) models where we report statistics and visual results of two of them.
翻译:我们详细介绍和参考了为准备用于磁共振成像(MRI)到X射线计算断层摄影(CT)翻译任务的公共回溯图像登记评价(RIRE)数据集所需的预处理步骤,此外,我们描述并实施了三个状态的艺术革命神经网络(CNN)和基因对抗网络(GAN)模型,报告其中两个状态的统计和目视结果。