Medical Data Visualization 3D

A comprehensive medical imaging application for 3D visualization and analysis of medical data including DICOM, MRI, and CT scans. Built with ITK and VTK libraries for professional-grade medical image processing and rendering.

Features

• Volume Rendering: High-performance 3D visualization of brain and CT bone data using GPU ray casting
• DICOM Series Viewer: Interactive slice-by-slice navigation through medical image series
• Medical Segmentation:
  • Confidence Connected segmentation for brain white matter extraction
  • Watershed segmentation for advanced image analysis
• Multi-format Support: DICOM directories, MetaImage files (.mha), MRI, and CT data
• Interactive Navigation: Mouse wheel and keyboard controls for 3D manipulation
• Real-time Rendering: GPU-accelerated volume rendering with customizable transfer functions

Installation

Prerequisites

Windows

• Visual Studio 2015 or later
• CMake 3.0+
• VTK (Visualization Toolkit) - Installation Guide
• ITK (Insight Segmentation and Registration Toolkit) - Installation Guide

Linux/Ubuntu

• GCC 7.0+ or Clang 6.0+
• CMake 3.0+
• VTK development libraries
• ITK development libraries
• OpenGL development libraries

# Ubuntu/Debian
sudo apt-get update
sudo apt-get install build-essential cmake
sudo apt-get install libvtk9-dev libinsighttoolkit5-dev
sudo apt-get install libgl1-mesa-dev libglu1-mesa-dev

macOS

• Xcode Command Line Tools
• CMake 3.0+
• VTK and ITK (via Homebrew recommended)

# Install Homebrew if not already installed
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

# Install dependencies
brew install cmake vtk itk

Building the Project

1. Clone the repository

   git clone <repository-url>
   cd Medical-Data-Visualization-3D

2. Build with CMake

   mkdir build
   cd build
   cmake ../src

3. Compile

   Windows

   • Open the generated .sln solution file in Visual Studio
   • Run Visual Studio as Administrator
   • Build the solution
   • Executable will be generated in /bin/debug/

   Linux/macOS

   make -j$(nproc)  # Linux
   make -j$(sysctl -n hw.ncpu)  # macOS

4. Run the application

   # Windows
   ./bin/debug/PROJECT.exe
   
   # Linux/macOS
   ./PROJECT

Usage

The application provides a console-based menu with 5 main operations:

1. Volume Rendering for Brain Data: Render 3D brain volumes from DICOM or MetaImage files
2. Volume Rendering for CT Bone Data: Specialized CT bone visualization
3. Medical Data Watershed Segmentation: Advanced image segmentation using watershed algorithm
4. DICOM Series Viewer: Navigate through DICOM image series slice by slice
5. Confidence Connected Segmentation: Extract brain white matter regions

Controls

• Mouse Wheel: Navigate through image slices
• Arrow Keys: Up/Down for slice navigation
• Right Mouse + Drag: Zoom and rotate in 3D view
• Trackball Camera: Interactive 3D navigation

Architecture

• Language: C++
• Medical Image Processing: ITK (Insight Toolkit)
• 3D Visualization: VTK (Visualization Toolkit)
• Build System: CMake
• Platform: Cross-platform (Windows, Linux, macOS)

The application uses a modular header-only design with specialized modules for different medical imaging tasks, featuring ITK-to-VTK pipeline integration for seamless data processing and visualization.

Screenshots

Contributing

This project is part of a medical imaging research initiative. Contributions are welcome for:

• Additional medical image format support
• Performance optimizations
• UI/UX enhancements
• Documentation improvements

Known Limitations

⚠️ Note: The current codebase includes Windows-specific dependencies (windows.h, dos.h) that may require modification for full Linux/macOS compatibility. The build instructions above assume these dependencies can be conditionally compiled or replaced with cross-platform alternatives.

License

Please refer to the project's license file for usage rights and restrictions.