2023
DOI: 10.1109/tmrb.2023.3265718
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Autonomous Respiratory Motion Compensated Robot for CT-Guided Abdominal Radiofrequency Ablations

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Cited by 6 publications
(2 citation statements)
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“…The results show that during the course of treatment, the value of the target positioning error was reduced by 89%, while the treatment time increased by no more than 1%. Anthony L. et al [ 5 ] at the Georgia Institute of Technology introduced the design, manufacture, modeling, and bench characteristic testing of a CT-guided parallel robot, and proposed a new breathing motion compensation protocol (RMCP) for the accurate positioning of robot-assisted abdominal RFA needles, as shown in Figure 2 . The robot consists of a Stewart platform and a friction-driven drum insertion module that uses a custom-designed breath-sensing pad for motion gating, eliminating the need for continuous CT motion gating.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The results show that during the course of treatment, the value of the target positioning error was reduced by 89%, while the treatment time increased by no more than 1%. Anthony L. et al [ 5 ] at the Georgia Institute of Technology introduced the design, manufacture, modeling, and bench characteristic testing of a CT-guided parallel robot, and proposed a new breathing motion compensation protocol (RMCP) for the accurate positioning of robot-assisted abdominal RFA needles, as shown in Figure 2 . The robot consists of a Stewart platform and a friction-driven drum insertion module that uses a custom-designed breath-sensing pad for motion gating, eliminating the need for continuous CT motion gating.…”
Section: Resultsmentioning
confidence: 99%
“…Radiofrequency ablation (RFA) is an effective minimally invasive treatment for a variety of solid tumor cancers, including those of the lung, breast, kidney, pancreas, and liver. However, effective RFA for abdominal tumors relies on precise ablation needle targeting, which can be a challenging task due to respiratory movement [ 5 ].…”
Section: Introductionmentioning
confidence: 99%