Cardiac computed tomography (CT) has emerged as a major imaging modality for the diagnosis and monitoring of cardiovascular diseases. High temporal resolution is essential to ensure diagnostic accuracy. Limited-angle data acquisition can reduce scan time and improve temporal resolution, but typically leads to severe image degradation and motivates for improved reconstruction techniques. In this paper, we propose a novel physics-informed score-based diffusion model (PSDM) for limited-angle reconstruction of cardiac CT. At the sampling time, we combine a data prior from a diffusion model and a model prior obtained via an iterative algorithm and Fourier fusion to further enhance the image quality. Specifically, our approach integrates the primal-dual hybrid gradient (PDHG) algorithm with score-based diffusion models, thereby enabling us to reconstruct high-quality cardiac CT images from limited-angle data. The numerical simulations and real data experiments confirm the effectiveness of our proposed approach.
@article{arxiv.2405.14770,
title = {Physics-informed Score-based Diffusion Model for Limited-angle Reconstruction of Cardiac Computed Tomography},
author = {Shuo Han and Yongshun Xu and Dayang Wang and Bahareh Morovati and Li Zhou and Jonathan S. Maltz and Ge Wang and Hengyong Yu},
journal= {arXiv preprint arXiv:2405.14770},
year = {2025}
}