Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/87719
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Title: 3D ultrasound imaging of scoliosis with force-sensitive robotic scanning
Authors: Victorova, M 
Navarro-Alarcon, D 
Zheng, Y 
Issue Date: 2019
Source: 2019 Third IEEE International Conference on Robotic Computing (IRC), Naples, Italy, 25-27 Feb. 2019, p. 262-265
Abstract: The motivation of this work is to develop a robotic system for improving the 3D ultrasound assessment of scoliosis with the Scolioscan machine. The proposed automated approach can liberate sonographers from manipulating the probe over patient's spine (this repetitive and tiring task may case them musculoskeletal complications). The robotic system has the potential to enhance the imaging quality during scanning by ensuring a good acoustic coupling between the probe and tissues. This is done by exploiting force feedback so as to regulate the applied force during the manipulation task. An experimental study is presented to validate the feasibility of the proposed robotic scanning approach.
Publisher: Institute of Electrical and Electronics Engineers
ISBN: 978-1-5386-9245-5 ( Electronic)
978-1-5386-9246-2 (Print on Demand(PoD))
DOI: 10.1109/IRC.2019.00049
Rights: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications standards/publications/rights/index.html for more information.
The following publication M. Victorova, D. Navarro-Alarcon and Y. Zheng, "3D Ultrasound Imaging of Scoliosis with Force-Sensitive Robotic Scanning," 2019 Third IEEE International Conference on Robotic Computing (IRC), Naples, Italy, 2019, pp. 262-265 is available at https://dx.doi.org/10.1109/IRC.2019.00049
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