SR-CT Tomographic Reconstruction Using Radon Transform

The SR-CT tomographic reconstruction program based on Radon transform represents an advanced medical imaging technology. This MATLAB-implemented program effectively converts CT scanning data into high-quality 3D images through sophisticated mathematical processing. The implementation typically involves key functions such as radon() for forward projection and iradon() for inverse Radon transform, with optimization algorithms for noise reduction and image enhancement. This technology has gained widespread adoption in medical fields due to its superior accuracy compared to conventional CT scanning methods. The core algorithm works by computing line integrals across various angles and reconstructing cross-sectional images using filtered back-projection techniques. Over recent decades, medical imaging technology has achieved remarkable advancements, with SR-CT tomographic reconstruction standing as a significant milestone in diagnostic imaging evolution. From a programming perspective, the MATLAB implementation incorporates image preprocessing routines, interpolation methods for discrete data handling, and regularization techniques to improve reconstruction stability. Therefore, mastering this technology through practical coding exercises and algorithm understanding has become essential for medical professionals and students pursuing careers in medical imaging and computational medicine.