Chatelain P, Krupa A, Navab N (2015)
Publication Type: Conference contribution
Publication year: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2015-June
Pages Range: 5997-6002
Conference Proceedings Title: Proceedings - IEEE International Conference on Robotics and Automation
Event location: Seattle, WA, USA
ISBN: 9781479969234
DOI: 10.1109/ICRA.2015.7140040
In this paper we propose a new ultrasound-based visual servoing framework, for the optimization of the positioning of an ultrasound probe manipulated by a robotic arm, in order to improve the quality of the acquired ultrasound images. To this end, we use the recent framework of ultrasound confidence map, which aims at estimating the perpixel quality of the ultrasound signal based on a model of sound propagation in soft tissues. More specifically, we treat the ultrasound confidence maps as a new modality to design a visual servoing control law for image quality optimization. The proposed framework aims at improving ultrasound imaging techniques, such as robotic tele-echography, target tracking or volume reconstruction. Here we illustrate our approach with the application of robotic tele-echography. Experiments are performed on both an ultrasound examination training phantom and ex vivo tissue samples.
APA:
Chatelain, P., Krupa, A., & Navab, N. (2015). Optimization of ultrasound image quality via visual servoing. In Proceedings - IEEE International Conference on Robotics and Automation (pp. 5997-6002). Seattle, WA, USA: Institute of Electrical and Electronics Engineers Inc..
MLA:
Chatelain, Pierre, Alexandre Krupa, and Nassir Navab. "Optimization of ultrasound image quality via visual servoing." Proceedings of the 2015 IEEE International Conference on Robotics and Automation, ICRA 2015, Seattle, WA, USA Institute of Electrical and Electronics Engineers Inc., 2015. 5997-6002.
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