CT Reconstruction Bundle (Complete Series)

This bundle includes both parts of my CT reconstruction series — a complete learning package for understanding CT physics and image reconstruction in Python.

🔹 Part 1: Projection Generation (Fan-Beam Sinogram)

• Generate a realistic sinogram from the Shepp–Logan phantom
• Curved-detector geometry (flat-panel support coming soon)
• Parameter-adjustable 2D fan-beam setup:
• • Source-axis distance (default 570 mm)
• • Detector arc (default 32.5° with 512 bins)
• • Number of projections (default 720 over 360°)
• Python code for projection simulation

🔹 Part 2: Filtered Backprojection (FBP) Reconstruction

• Apply the ramp filter and reconstruct the phantom from the sinogram
• Handles multiple scan modes:
• • Full 360° scan
• • Short scan with Parker weighting
• • Overscan with generalized Parker weighting
• Full Python walkthrough with backprojection loop

✅ Fully Adjustable Parameters

Experiment with different geometries and scan modes to see how they affect the final image.

✨ End-to-End Pipeline

Together, these scripts form a complete CT pipeline:

Raw projections → redundancy weighting → sharp reconstructed images.

📂 What’s Included:

• Python code files for projection generation (curved detector)
• Python code files for FBP reconstruction with full/short/overscan support

⚡ Note & Roadmap

This version is for curved detectors.

Flat-panel geometry support will be added in a future update — free for all existing buyers.