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Titel:

Automatic Normal Positioning of Robotic Ultrasound Probe based only on Confidence Map Optimization and Force Measurement

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Jiang, Z.; Grimm, M.; Zhou, M.; Esteban, J.; Simson, W.; Zahnd, G.; Navab, N.
Abstract:
Acquiring good image quality is one of the main challenges for fully-automatic robot-assisted ultrasound systems (RUSS). The presented method aims at overcoming this challenge for orthopaedic applications by optimizing the orientation of the robotic ultrasound (US) probe, i.e. aligning the central axis of the US probe to the tissue's surface normal at the point of contact in order to improve sound propagation within the tissue. We first optimize the in-plane orientation of the probe by analyzing...     »
Stichworte:
ICRA,ICRA2020,RAL,Medical Robots and Systems,Force and Tactile Sensing,Robotic Ultrasound
Zeitschriftentitel:
IEEE/RA-L International Conference on Robotics and Automation 2020
Jahr:
2020
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