Physics‐based iterative reconstruction for dual‐source and flying focal spot computed tomography

For single source helical Computed Tomography (CT), both Filtered-Back Projection (FBP) and statistical iterative reconstruction have been investigated. However for dual CT with flying focal spot (DS-FFS CT), that accurately models the scanner geometry physics remains unknown to researchers. Therefore, this paper presents a novel physics-based method DS-FFS assess its image quality. Our algorithm uses precise reconstruct from native cone-beam interleaved trajectory of CT. To do so, we construct noise model represent data acquisition prior texture. In addition, design forward system compute locations deflected spots, dimension sensitivity voxels detector units, as well length intersection between X-rays voxels. The further coordinated movement sources by computing their X-ray coverage gaps overlaps at an arbitrary pitch. With above models, images using advanced Consensus Equilibrium (CE) numerical maximum posteriori estimate joint optimization problem simultaneously fits all models. We compared our Siemens ADMIRE, which is clinical standard hybrid (IR) CT, in terms spatial resolution, profile artifacts through phantoms datasets. Experiments show has consistently higher resolution than IR. shows reduced magnitude undersampling standard.