About the role

Internship Project will include: Compound Imaging Development and Optimization for ATUSA Image Quality  Enhancement 

Overview 

Compound imaging: reconstructing images from multiple insonification angles. 

• This project focuses on developing and optimizing compound imaging techniques for the  ATUSA 3D breast ultrasound system to address key image quality limitations observed  in current reconstruction. 

Objectives 

• Develop and evaluate multi-angle compound imaging approaches for ATUSA - Reduce seam artifacts and improve continuity across stitched regions - Mitigate shadowing effects using angled insonification strategies 
• Establish a framework for robust signal recovery in low-visibility regions - Prepare compound imaging methods for integration into the reconstruction pipeline 

Key Responsibilities 

• Baseline Analysis of Current Imaging Limitations 
• • Analyze existing ATUSA datasets to characterize seam lines, shadowing, and signal  dropouts 
• Compound Imaging Strategy Development 
• • Implement methods combining multiple angular views 
• Explore averaging, weighted blending, and directional compounding 3. Shadow Reduction via Angled Insonification
• • Reconstruct shadowed regions using alternative angular data 
• Seam Artifact Reduction 
• • Improve continuity across frame boundaries using compounding 
• Image Quality Improvement  
• • Use/modify current apps/algorithms to improve the image quality of the final compound  images 
• Evaluation & Metrics 
• • Measure signal recovery, consistency, and image quality improvements 7. Integration Considerations 
  • Assess feasibility for real-time implementation and define requirements 8. Documentation & Reporting 
  • Provide visual results, reports, and recommendations 

Ideal Candidate Background 

• MS or PhD in Biomedical/Electrical Engineering 
• Python and image processing experience 
• Strong interest in medical imaging