X2CT-FLOW:利用流基基因模型,重建多个体积胸部计算成的透光图像,其与单平或双平式胸部X射线图像不同的可能性 (X2CT-FLOW: Reconstruction of multiple volumetric chest computed tomography images with different likelihoods from a uni- or biplanar chest X-ray image using a flow-based generative model)

2021 年 4 月 9 日

X2CT-FLOW: Reconstruction of multiple volumetric chest computed tomography images with different likelihoods from a uni- or biplanar chest X-ray image using a flow-based generative model

翻译：X2CT-FLOW:利用流基基因模型,重建多个体积胸部计算成的透光图像,其与单平或双平式胸部X射线图像不同的可能性

Hisaichi Shibata,Shouhei Hanaoka,Yukihiro Nomura,Takahiro Nakao,Tomomi Takenaga,Naoto Hayashi,Osamu Abe

We propose X2CT-FLOW for the reconstruction of volumetric chest computed tomography (CT) images from uni- or biplanar digitally reconstructed radiographs (DRRs) or chest X-ray (CXR) images on the basis of a flow-based deep generative (FDG) model. With the adoption of X2CT-FLOW, all the reconstructed volumetric chest CT images satisfy the condition that each of those projected onto each plane coincides with each input DRR or CXR image. Moreover, X2CT-FLOW can reconstruct multiple volumetric chest CT images with different likelihoods. The volumetric chest CT images reconstructed from biplanar DRRs showed good agreement with ground truth images in terms of the structural similarity index (0.931 on average). Moreover, we show that X2CT-FLOW can actually reconstruct such multiple volumetric chest CT images from DRRs. Finally, we demonstrate that X2CT-FLOW can reconstruct multiple volumetric chest CT images from a real uniplanar CXR image.

翻译：我们提议使用X2CT-FLOW来重建以流动为基础的深基因模型(FDG)为基础的单体或双平式数字重建射电图或胸前X光(CXR)图像中的体积计色成像。随着X2CT-FLOW的采用,所有重塑的体积胸成像都符合以下条件:每架飞机所投射的体积胸成像都与每一输入的DRR或CXR图像相吻合。此外,X2CT-FLOW可以以不同的可能性重建多个体积胸XT图像。从双平式射电图中重建的体积胸成像在结构相似指数(平均为0.931)方面与地面真象相一致。此外,我们表明,X2CT-FLOW能够从DRRs中实际重建如此多体积胸的CT图象。最后,我们证明X2CT-FLOW能够从真正的单式CXR图像中重建多个体积胸成像。