4D computed tomography super-resolution reconstruction based on tensor product and nuclear norm optimization

作者：

Highlights：

• A tensor product and nuclear norm optimization method for 4D-CT super-resolution.

• The optimal operators extract information from each dimension of LR image tensor.

• Efficiently training optimal operators by different kinds of tensor product.

• Enhancing the quality of 4D super-resolution reconstruction.

摘要

•A tensor product and nuclear norm optimization method for 4D-CT super-resolution.•The optimal operators extract information from each dimension of LR image tensor.•Efficiently training optimal operators by different kinds of tensor product.•Enhancing the quality of 4D super-resolution reconstruction.

论文关键词：4D-CT,Super-resolution,Tensor product,Optimization,Nuclear norm

论文评审过程：Received 6 April 2020, Revised 14 May 2021, Accepted 30 June 2021, Available online 27 July 2021, Version of Record 3 August 2021.

论文官网地址：https://doi.org/10.1016/j.patcog.2021.108150