Real-Time CT Reconstruction and Visualization Desktop App

Objective

Develop a real-time CT image reconstruction and visualization application using Qt and OpenGL. The application should support sinogram generation, filtering, and backprojection while rendering the reconstructed slices in real time.

Key Features

• ✅ Qt-based GUI for user-friendly interaction.
• ✅ Sinogram generation from raw projection data.
• ✅ Filtering module for pre-processing sinograms (Ramp, Shepp-Logan, Hamming filters).
• ✅ Backprojection-based reconstruction algorithm.
• ✅ OpenGL-based real-time visualization of reconstructed slices.
• ✅ Performance optimizations for smooth rendering.

Technical Stack

• Qt (C++ & Qt Widgets/QML) – GUI development.
• OpenGL – Real-time 2D/3D visualization of CT slices.
• Eigen/OpenCV – Matrix operations and image processing.
• Multithreading (QtConcurrent or OpenMP) – Speed up computation.

Implementation Steps

1. GUI Development (Qt)

   • Design an interface with controls for file loading, filtering, and reconstruction.
   • Add a preview window for sinograms and reconstructed slices.

2. Sinogram Generation

   • Convert raw projection data into a sinogram.
   • Implement functions to simulate different projection angles.

3. Filtering Module

   • Apply Ram-Lak, Shepp-Logan, or Hamming filters to improve reconstruction quality.
   • Optimize filtering using FFT-based convolution.

4. Backprojection Algorithm

   • Implement inverse Radon transform using filtered backprojection (FBP).
   • Use Eigen/OpenCV for matrix transformations.

5. Real-Time Visualization with OpenGL

   • Render reconstructed slices in 2D grayscale.
   • Allow scrolling through slices using Qt sliders.
   • Support 3D volume visualization using OpenGL shaders (optional).

6. Performance Optimizations

   • Optimize matrix operations with Eigen/OpenMP.
   • Use double buffering in OpenGL for smooth rendering.

License

This project is licensed under the MIT License.