Biomedical/Electrical Engineering… at iSono Health · Sunnyvale

Summary: 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. The role involves developing and optimizing compound imaging techniques for the ATUSA 3D breast ultrasound system to enhance image quality and address limitations in current reconstruction methods. 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 - 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 - Integration Considerations - Assess feasibility for real-time implementation and define requirements - Documentation & Reporting - Provide visual results, reports, and recommendations Required Qualifications: - MS or PhD in Biomedical/Electrical Engineering - Python and image processing experience - Strong interest in medical imaging Required Skills: Biomedical Engineering, Electrical Engineering, Python, Image Processing, Medical Imaging