Computed Tomography (CT) Simulation

Computed Tomography (CT) is a medical imaging technique that reconstructs cross-sectional images of an object from multiple X-ray projections taken at different angles.
Unlike a single flat X-ray, CT combines projections using mathematical algorithms to produce detailed 2D slices or even full 3D reconstructions of internal structures.

Project Overview

This repository demonstrates the core principles of CT using Python and libraries like TomoPy.

Key Concepts

• Projection Data (Sinograms): Simulated X-ray measurements taken at multiple angles.
• Reconstruction Algorithms: Implementations of Filtered Back Projection (FBP) and iterative methods for image reconstruction.
• Mathematical Foundations: Use of Fourier transforms, convolution, and linear algebra in reconstruction.

This Repository contains code for Algorithms that can be used for performing

1. Parallel Beam Reconstruction
2. Fan-Beam Reconstruction
3. Cone-Beam Reconstruction