Modeling shift-variant X-ray focal spot blur for high-resolution flat-panel cone-beam CT

TL;DR

This paper introduces a shift-variant focal-spot blur model for high-resolution flat-panel cone-beam CT and demonstrates its effectiveness in improving image quality through model-based iterative reconstruction in simulations and physical experiments.

Contribution

It presents a novel shift-variant blur model integrated into iterative reconstruction, enhancing resolution in high-magnification CBCT imaging.

Findings

Significant image quality improvement with the shift-variant model.

Traditional models show resolution dependence on acquisition protocol.

Experimental validation confirms model's effectiveness.

Abstract

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.