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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
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