# Enhanced Tumor Detection GUI - DICOM Viewer Integration

This directory contains the enhanced tumor detection system with integrated DICOM viewer capabilities.

## 🏥 New Features

### Professional DICOM Viewer
- **Cornerstone3D Integration**: High-performance medical image rendering
- **Multi-planar Reconstruction (MPR)**: Axial, sagittal, and coronal views
- **Medical Imaging Tools**: Window/level, zoom, pan, measurements
- **Annotation Tools**: Length, angle, ROI measurements
- **AI Visualization**: Tumor detection overlays with confidence scores

### Clinical Workflow Enhancement
- **Study Management**: Comprehensive study and series organization
- **AI Analysis Integration**: Real-time tumor detection processing
- **Clinical Reporting**: Automated report generation with AI findings
- **Patient Management**: Enhanced patient data organization

### Technical Improvements
- **Real-time Image Streaming**: Progressive DICOM data loading
- **GPU Acceleration**: WebGL-based rendering for smooth performance
- **Cross-platform Support**: Works on desktop and tablet devices
- **Standards Compliance**: Full DICOMweb compatibility

## 🚀 Quick Start

1. **Setup the enhanced system:**
   ```bash
   chmod +x setup_enhanced_gui.sh
   ./setup_enhanced_gui.sh
   ```

2. **Verify installation:**
   ```bash
   ./verify_installation.sh
   ```

3. **Start the application:**
   ```bash
   ./start_enhanced_gui.sh
   ```

4. **Access the interface:**
   - Frontend: http://localhost:3000
   - Backend API: http://localhost:8000
   - API Docs: http://localhost:8000/docs

## 📁 Directory Structure

```
gui/
├── backend/                 # FastAPI backend with DICOM endpoints
│   ├── api/
│   │   └── routes.py       # Enhanced API routes for DICOM viewing
│   ├── models.py           # Data models
│   └── main.py             # FastAPI application
├── frontend/               # React frontend with DICOM viewer
│   ├── src/
│   │   ├── components/
│   │   │   ├── DicomViewer.tsx      # Cornerstone3D DICOM viewer
│   │   │   └── StudyViewer.tsx      # Complete study viewer
│   │   └── pages/
│   │       └── StudiesPage.tsx      # Enhanced studies page
│   └── package.json        # Dependencies including Cornerstone3D
└── docs/                   # Documentation
```

## 🔧 Technical Architecture

### Frontend Components

#### DicomViewer.tsx
- **Purpose**: Core DICOM image viewing component
- **Technology**: Cornerstone3D, React, TypeScript
- **Features**:
  - Medical image rendering with GPU acceleration
  - Comprehensive tool suite (measurement, annotation)
  - Tumor detection overlay visualization
  - Multi-orientation support (axial, sagittal, coronal)

#### StudyViewer.tsx
- **Purpose**: Complete study management interface
- **Features**:
  - Study information panel
  - AI analysis controls and results
  - Clinical findings visualization
  - Report generation integration

### Backend Enhancements

#### New API Endpoints

- `GET /studies/{study_id}/series` - Get DICOM series metadata
- `GET /series/{series_id}/images` - Get image list for series
- `GET /dicom/images/{series_id}/{image}` - Serve DICOM image files
- `GET /ai/predictions/{series_id}` - Get AI detection results
- `POST /ai/analyze` - Trigger AI analysis
- `GET /ai/results/{task_id}` - Get analysis results

### Dependencies

#### Frontend (React + TypeScript)
- `@cornerstonejs/core` - Core rendering engine
- `@cornerstonejs/tools` - Medical imaging tools
- `@cornerstonejs/dicom-image-loader` - DICOM file handling
- `@cornerstonejs/streaming-image-volume-loader` - Volume rendering
- `dicom-parser` - DICOM metadata parsing

#### Backend (Python + FastAPI)
- `fastapi` - Web framework
- `uvicorn` - ASGI server
- `python-multipart` - File upload support

## 🏥 Clinical Features

### Imaging Tools
- **Window/Level**: Adjust image contrast and brightness
- **Zoom/Pan**: Navigate through large medical images
- **Measurements**: Precise distance and angle measurements
- **ROI Analysis**: Region of interest statistics
- **Annotations**: Clinical markup and notes

### AI Integration
- **Real-time Analysis**: Background tumor detection processing
- **Visual Overlays**: Color-coded tumor detection results
- **Confidence Scoring**: Probability maps for detections
- **Clinical Recommendations**: Automated clinical guidance

### Study Management
- **Multi-series Support**: Handle complex imaging studies
- **Comparison Views**: Side-by-side study comparison
- **Report Generation**: Automated clinical reporting
- **Export Functions**: Save images and reports

## 🔒 Security & Compliance

- **DICOM Standards**: Full compliance with medical imaging standards
- **Data Privacy**: Secure handling of patient information
- **Access Control**: Role-based permissions
- **Audit Logging**: Complete action tracking

## 🧪 Development

### Quick Development Restart
```bash
./restart_gui.sh
```

### Manual Component Testing
```bash
# Backend only
cd gui/backend && source venv/bin/activate && python main.py

# Frontend only
cd gui/frontend && npm start
```

### Debugging
- Backend logs: Console output from FastAPI
- Frontend debugging: Browser developer tools
- Network requests: Check browser Network tab

## 📊 Performance

### Optimization Features
- **Progressive Loading**: Images load as needed
- **GPU Acceleration**: WebGL rendering for smooth interaction
- **Memory Management**: Efficient DICOM data caching
- **Responsive Design**: Adapts to different screen sizes

### System Requirements
- **Browser**: Modern browsers with WebGL support
- **Memory**: 8GB+ RAM recommended for large studies
- **Network**: Stable connection for DICOM streaming
- **Storage**: Variable based on study sizes

## 🤝 Integration

This enhanced viewer integrates seamlessly with:
- Existing PACS systems via DICOMweb
- AI/ML pipelines for automated analysis
- Electronic Health Records (EHR) systems
- Clinical reporting workflows

## 📞 Support

For issues with the enhanced DICOM viewer:
1. Check browser console for errors
2. Verify DICOM file compatibility
3. Confirm network connectivity for image loading
4. Review API endpoint responses in network tab
