2016/10/17 by Steven Tilley, Steven Tilley II, Wojciech Zbijewski +8
Engineering · Mathematics · Medicine · Physics and Astronomy · #Advanced X-ray and CT Imaging #Digital Radiography and Breast Imaging #FOS: Mathematics #FOS: Physical sciences #Medical Imaging Techniques and Applications #Medical Physics (physics.med-ph) #Optimization and Control (math.OC) #math.OC #physics.med-ph
paper · pdf · doi:10.48550/arxiv.1610.05288
Published in the conference proceedings of the 4th International Conference on Image Formation in X-Ray Computed Tomography
arxiv created 2016/10/17 · openalex publication_date 2016/10/17 · arxiv updated 2016/10/18 · openalex created_date 2019/10/03 · openalex updated_date 2026/08/01
Flat-panel cone-beam CT (CBCT) has been applied clinically in a number of high-resolution applications. Increasing geometric magnification can potentially improve resolution, but also increases blur due to an extended x-ray focal-spot. We present a shift-variant focal-spot blur model and incorporate it into a model-based iterative-reconstruction algorithm. We apply this algorithm to simulation and CBCT test-bench data. In a trabecular bone simulation study, we find traditional reconstruction approaches without a blur model exhibit shift-variant resolution properties that depend greatly on the acquisition protocol (e.g. short vs. full scans) and the anode angles of the rays used to reconstruct a particular region. For physical CBCT experiments focal spot blur was characterized and a spatial resolution phantom was scanned and reconstructed. In both experiments image quality using the shift-variant model was significantly improved over approaches that modeled no blur or only a shift-invariant blur, suggesting a potential means to overcome traditional CBCT spatial resolution and system design limitations.