6-dof respiratory motion simulation platform (Respiratory Motion)
90
Structured Review
Respiratory Motion
6-dof respiratory motion simulation platform
6 Dof Respiratory Motion Simulation Platform, supplied by Respiratory Motion, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/6-dof+respiratory+motion+simulation+platform/6+dof+respiratory+motion+estimates/pm34379863-123-49-50
Average 90 stars, based on 1 article reviews
6 Dof Respiratory Motion Simulation Platform, supplied by Respiratory Motion, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/6-dof+respiratory+motion+simulation+platform/6+dof+respiratory+motion+estimates/pm34379863-123-49-50
Average 90 stars, based on 1 article reviews
6-dof respiratory motion simulation platform - by Bioz Stars,
2026-09
90/100 stars
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Imaging:Article Title: Automatic registration and precise tumour localization method for robot-assisted puncture procedure under inconsistent breath-holding conditions. Article Snippet: Funding information National Natural Science Foundation of China, Grant/Award Numbers: 12026604, 61803362, U1813204; Shenzhen Science and Technology Program, Grant/Award Numbers: JCYJ20200109115201707, KQTD2016113010571019, JCYJ20180507182415428; Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology Abstract Background: During percutaneous puncture procedure, breath holding is subjectively controlled by patients, and it is difficult to ensure consistent tumour position between the preoperative CT scanning phase and the intraoperative puncture phase.. In addition, the manual registration process is time‐consuming and has low accuracy.. Methods: We have proposed an automatic registration method using optical markers and a tumour breath‐holding position estimation model based on the support vector regression algorithm. |