Viviana Sutedjo

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About

Viviana Sutedjo is a rising researcher in medical robotics, with a focus on advancing autonomous ultrasound imaging. Her work addresses a critical limitation of robotic ultrasound systems: acoustic shadowing, where dense structures like bone block the ultrasound beam, creating "dark" regions that obscure anatomy. In her highly cited 2022 paper, "Acoustic Shadowing Aware Robotic Ultrasound: Lighting up the Dark," she pioneered a method that enables a robotic arm to detect and compensate for these shadowed areas in real time. By integrating acoustic shadowing awareness into the robot’s control loop, her approach allows for more complete and diagnostically useful image acquisition, significantly improving accuracy and repeatability compared to conventional robotic ultrasound. This contribution is vital for making robotic ultrasound more reliable in clinical settings, particularly for applications like spine imaging or fetal scanning. With 9 citations already, her work is gaining traction in the surgical robotics and medical imaging communities. Sutedjo’s research sits at the intersection of computer vision, haptics, and control, and she is recognized for developing practical, physics-informed solutions that bridge the gap between robotic autonomy and real-world clinical needs.