计算机应用研究2024，Vol.41Issue(4)：1234-1238,5.DOI:10.19734/j.issn.1001-3695.2023.07.0345
基于形变估计与运动补偿的医学CT图像层间超分辨率算法
Medical CT images inter-slice super-resolution algorithm based on deformation estimation and motion compensation
摘要
Abstract
Aiming at the problem of low interlayer resolution in medical tomographic images,this paper proposed an interlayer super-resolution algorithm based on deformation estimation and motion compensation.The method aimed to enhance interlayer resolution by generating interslice images.Firstly,the algorithm employed U-Net for multi-scale feature extraction and fusion of two adjacent images.To handle the complex deformation of interlayer images,it estimated slice bidirectional deformation by utilizing a warping module based on adaptive collaboration of flows.Multi-scale information fusion module performed feature aggregation on pyramid feature layers,to compensate for the motion of the generated map.Finally,it employed a post-processing network to reduce pixel outliers.The results on two CT datasets show that the PSNR of the proposed algorithm reaches 35.59 dB and 30.76 dB,the output effectively restores image details.Comparative experiments with existing methods demon-strate the effectiveness of the proposed algorithm.关键词
层间超分辨率/卷积神经网络/三维医学图像/形变估计Key words
inter-slice super-resolution/convolutional neural network/3D-medical images/deformation estimation分类
信息技术与安全科学引用本文复制引用
郑智震,郑茜颖,俞金玲..基于形变估计与运动补偿的医学CT图像层间超分辨率算法[J].计算机应用研究,2024,41(4):1234-1238,5.基金项目
国家自然科学基金资助项目(62271151) （62271151）
福建省科技厅重点产业引导项目(2020H0007) （2020H0007）
