Biomedical/Electrical Engineering Imaging Intern

About iSono Health Inc. iSono Health is a dynamic and rapidly growing early clinical-commercial stage medical device company dedicated to saving lives and transforming care through innovative robotics, AI, and 3D ultrasound technologies. At iSono Health, we're pioneering a new era of breast care. We believe every woman deserves access to fast, affordable, and comfortable screenings. That's why we developed ATUSA, the world's first AI-powered platform with a point-of-care, automated 3D ultrasound system. To succeed here, you need to think like an entrepreneur, act like a leader, and execute with precision. We value individuals who take initiative, embrace challenges, and are excited to wear multiple hats. Creativity, resilience, and a commitment to excellence are essential as we push the boundaries of what’s possible in healthcare. Our work is exciting because it’s meaningful. Together, we’re empowering women to take control of their health by expanding access to potentially lifesaving ultrasound technology. If you’re passionate about making a difference and ready to be part of a nimble, scrappy team that values impact over hierarchy, iSono Health is the place for you. At iSono Health, success isn’t just about the work—it’s about the mindset. We’re a small but mighty team of dedicated individuals driven by a shared mission: revolutionizing women’s health and making a profound impact for patients and clinicians. With big ambitions and innovative plans, we thrive in a fast-paced, dynamic environment where every team member owns what they build. Join us in transforming healthcare and be part of a team where every voice matters, every idea counts, and every action contributes to a greater purpose. 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