MATLAB-based Filtered Back Projection Reconstruction Algorithm

This MATLAB-based filtered back projection reconstruction algorithm performs high-quality image reconstruction through filtering operations and back projection techniques applied to standard 2D images. The implementation typically involves several key computational stages: first applying Fourier transform to the projection data, followed by frequency domain filtering using ramp filters (often implemented with functions like fft and ifft), and finally performing back projection to reconstruct the spatial domain image. This algorithm finds significant applications in medical imaging fields, particularly in CT scan image reconstruction. Through this algorithmic approach, users can obtain clearer and more accurate imaging results, thereby improving the precision and effectiveness of medical diagnostics. The MATLAB code structure generally includes data preprocessing, filter design, projection integration, and image display modules, utilizing built-in functions for efficient matrix operations and image processing tasks.