A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions
This work provides improved reconstruction quality for medical imaging applications using fan-beam and circle cone-beam CT, particularly for super-short-scan trajectories, which is an incremental improvement for radiologists.
This paper introduces an arc-based algorithm for fan-beam CT reconstruction by adapting Katsevich's helical CT formula and proposes a new weighting function for redundant projection data. Extending this to circle cone-beam geometry, they achieve a new FDK-similar algorithm, demonstrating higher PSNR and SSIM compared to existing methods for super-short-scan trajectories.
In this paper, we first present an arc based algorithm for fan-beam computed tomography (CT) reconstruction via applying Katsevich's helical CT formula to 2D fan-beam CT reconstruction. Then, we propose a new weighting function to deal with the redundant projection data. By extending the weighted arc based fan-beam algorithm to circle cone-beam geometry, we also obtain a new FDK-similar algorithm for circle cone-beam CT reconstruction. Experiments show that our methods can obtain higher PSNR and SSIM compared to the Parker-weighted conventional fan-beam algorithm and the FDK algorithm for super-short-scan trajectories.