Recent advances in robot-assisted echography: combining perception, control and cognition

被引:3
作者
Lu, Zhenyu [1 ]
Li, Miao [2 ]
Annamalai, Andy [3 ]
Yang, Chenguang [1 ]
机构
[1] Univ West England, Bristol Robot Lab, Bristol, Avon, England
[2] Wuhan Univ, Sch Power & Mech Engn, Wuhan, Peoples R China
[3] Director Res & Innovat, Surrey, England
基金
中国国家自然科学基金;
关键词
medical robotics; artificial intelligence; medical signal processing; biomedical ultrasonics; medical diagnostic computing; echography imaging; medical diagnostics; RAE systems; cognitive computing; robot assisted echography; patient diagnosis; sonography; ultrasound imaging; TELE-ECHOGRAPHY; ULTRASOUND GUIDANCE; SYSTEM; DESIGN; ARM; FEASIBILITY; FRAMEWORK; FUSION; CT;
D O I
10.1049/ccs.2020.0015
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Echography imaging is an important technique frequently used in medical diagnostics due to low-cost, non-ionising characteristics, and pragmatic convenience. Due to the shortage of skilful technicians and injuries of physicians sustained from diagnosing several patients, robot-assisted echography (RAE) system is gaining great attention in recent decades. A thorough study of the recent research advances in the field of perception, control and cognition techniques used in RAE systems is presented in this study. This survey introduces the representative system structure, applications and projects, and products. Challenges and key technological issues faced by the traditional RAE system and how the current artificial intelligence and cobots attempt to overcome these issues are summarised. Furthermore, significant future research directions in this field have been identified by this study as cognitive computing, operational skills transfer, and commercially feasible system design.
引用
收藏
页码:85 / 92
页数:8
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