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About

Michael Waine is a leading researcher in medical robotics and image-guided interventions, with a primary focus on improving the accuracy and safety of percutaneous needle insertion procedures. His major contributions lie in the development of automated methods for 3D needle shape reconstruction and real-time tracking using only 2D ultrasound images—a critical challenge in procedures like prostate brachytherapy. Waine pioneered the use of RANSAC-based algorithms to visualize curved needles from sparse transverse ultrasound data, enabling reliable assessment of needle placement without the need for expensive 3D imaging equipment. His work on needle tracking and deflection prediction, which integrates image processing with needle-tissue interaction models, has been cited over 80 times collectively, demonstrating significant impact in the field. Notably, his 2015 paper on 3D shape visualization using RANSAC remains a foundational reference for researchers tackling needle deflection and tissue deformation. Waine’s research directly addresses a key clinical bottleneck, offering practical solutions that enhance robot-assisted needle insertion accuracy.