FBP Image Reconstruction Algorithm for CT Systems

This project implements filtered back projection (FBP) algorithm for CT image reconstruction, primarily targeting the reconstruction and analysis of head phantom models. The algorithm workflow involves: 1) Applying Radon transform to generate sinogram data, 2) Implementing frequency-domain filtering using ramp filter to reduce star artifacts, and 3) Performing back projection to reconstruct the original image. Through this high-quality reconstruction approach, we can effectively facilitate learning and research in medical imaging. To achieve greater progress in medical image reconstruction techniques, I encourage everyone to actively share suggestions and ideas. I will continue to share my insights and experiences in implementing reconstruction algorithms, including optimization techniques for reducing computational complexity and improving image quality. If you have any relevant research materials or code implementations, please consider sharing them to promote collective advancement in this field.