Low-dose spectral reconstruction with global, local, and nonlocal priors based on subspace decomposition.

ABSTRACT:

Background

Multienergy computed tomography (MECT) is a promising imaging modality for material decomposition, lesion detection, and other clinical applications. However, there is an urgent need to design efficient and accurate algorithms to solve the inverse problems related to spectral reconstruction and improve image quality, especially under low-dose and incomplete datasets. The key issue for MECT reconstruction is how to efficiently describe the interchannel and intrachannel priors in multichannel images.

Methods

In this model, in order to correlate the similarities of interchannel images and regularize the multichannel images, the global, local, and nonlocal priors are jointly integrated into the low-dose MECT reconstruction model. First, the subspace decomposition meth

SUBMITTER: Yu X 

PROVIDER: S-EPMC9929412 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature