Ray-driven Spectral CT Reconstruction Based on Neural Base-Material Fields

arXiv:2404.06991v1 Announce Type: cross
Abstract: In spectral CT reconstruction, the basis materials decomposition involves solving a large-scale nonlinear system of integral equations, which is highly ill-posed mathematically. This paper proposes a model that parameterizes the attenuation coefficients of the object using a neural field representation, thereby avoiding the complex calculations of pixel-driven projection coefficient matrices during the discretization process of line integrals. It introduces a lightweight discretization method for line integrals based on a ray-driven neural field, enhancing the accuracy …

abstract arxiv cs.cv eess.iv fields integral material materials object paper ray representation scale type