Implementation of ART Algorithm in MATLAB

This program implements the ART algorithm using MATLAB. ART (Algebraic Reconstruction Technique) is a significant image reconstruction algorithm widely applied in medical imaging and non-destructive testing fields. The core algorithm operates by dividing the target image into multiple pixel blocks and performing iterative computations on each block to gradually reconstruct the complete image. Compared to other reconstruction algorithms, ART demonstrates superior computational efficiency and reconstruction accuracy, making it particularly suitable for practical applications involving large-scale data processing. The MATLAB implementation utilizes matrix operations and iterative optimization techniques, featuring key functions for projection data handling, system matrix generation, and iterative correction steps. The code structure includes modular components for data preprocessing, iteration control, and result visualization, providing clear documentation for each computational phase. This implementation not only serves as a valuable tool for researchers in related fields but also offers an excellent reference for MATLAB programming beginners, demonstrating practical applications of numerical computation and algorithm optimization techniques. The code includes detailed comments explaining the mathematical basis of ART and implementation considerations for handling different imaging geometries.