一个完全自主机器人超声波系统用于甲状腺扫描
Kang Su1, Jingwei Liu1, Xiaoqi Ren2,3
1School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, China.
Nature communications
|May 11, 2024
概括
一个新的机器人超声波系统自主扫描甲状腺并识别恶性结节,减少医生负担. 这项技术提供了高质量的成像,与人类专家相美.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 目前的甲状腺超声波解释是主观和苛刻的,依赖于超声波和放射科医生的专业知识.
- 在超声波手术过程中,临床医生的身体和认知负担是显著的.
研究的目的:
- 开发和评估用于甲状腺扫描的完全自主机器人超声波系统.
- 评估系统识别恶性甲状腺结节的能力,并协助ACR TI-RADS分类.
主要方法:
- 该系统集成了人类骨点识别,强化学习和强力反,用于自主定位甲状腺目标.
- 贝叶斯优化用于动态调整超声波探针的方向.
- 该系统在人类参与者身上进行了测试,以评估性能.
主要成果:
- 机器人系统实现了高质量的超声波扫描,与经验丰富的临床医生进行的超声波扫描相提并论.
- 该系统在检测甲状腺结节方面表现出能力.
- 该系统有可能为美国放射学学院的甲状腺成像报告和数据系统 (ACR TI-RADS) 计算提供数据.
结论:
- 一个完全自主机器人超声波系统可以独立执行高质量的甲状腺扫描.
- 这种机器人方法在提高诊断准确性和减少临床医生在甲状腺结节检测工作量方面显示出前途.
- 该系统为ACR TI-RADS等标准化报告系统提供了客观的结节特征.
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