Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction

arXiv:2405.02509v1 Announce Type: new
Abstract: Computed Tomography (CT) is pivotal in industrial quality control and medical diagnostics. Sparse-view CT, offering reduced ionizing radiation, faces challenges due to its under-sampled nature, leading to ill-posed reconstruction problems. Recent advancements in Implicit Neural Representations (INRs) have shown promise in addressing sparse-view CT reconstruction. Recognizing that CT often involves scanning similar subjects, we propose a novel approach to improve reconstruction quality through joint reconstruction of multiple objects using INRs. This approach can potentially leverage …

abstract arxiv challenges control cs.ai cs.cv diagnostics implicit neural representations industrial medical nature pivotal quality robust type view