J Shanghai Jiaotong Univ Sci ›› 2023, Vol. 28 ›› Issue (3): 330-338.doi: 10.1007/s12204-023-2606-y
李坚1,王星超1,钟敏2,郑剑2,孙正隆1
收稿日期:
2022-10-30
修回日期:
2023-02-08
接受日期:
2023-05-28
出版日期:
2023-05-28
发布日期:
2023-05-22
LI Jian1 (李坚),WANG Xingchao1 (王星超),ZHONG Min2 (钟敏),ZHENG Jian2(郑剑),SUN Zhenglong1*(孙正隆)
Received:
2022-10-30
Revised:
2023-02-08
Accepted:
2023-05-28
Online:
2023-05-28
Published:
2023-05-22
摘要: 随着医学成像和机器人技术的进步,完全自动诊断治疗的想法变得越来越有吸引力。超声检查具有无创、无辐射、成像速度快等特点,越来越多地被应用于临床,如妇产科、外科穿刺等。在本文中,我们提出了一种使用混合切片到体积配准方法的基于实时图像的视觉伺服控制方案。以这种方式,即使在存在干扰的情况下,机器人也可以根据术前计划自主将超声探头定位到所需的姿态。我们使用了甲状腺活检模体模型来设计和进行实验。结果表明,本文所提出的方案可以实现高达30 Hz的刷新率和(0.52±0.65)mm的跟踪精度。
中图分类号:
李坚1,王星超1,钟敏2,郑剑2,孙正隆1. 基于实时切片到体积配准的机器人辅助甲状腺活检自主导航[J]. J Shanghai Jiaotong Univ Sci, 2023, 28(3): 330-338.
LI Jian1 (李坚),WANG Xingchao1 (王星超),ZHONG Min2 (钟敏),ZHENG Jian2(郑剑),SUN Zhenglong1*(孙正隆). Real-Time Slice-to-Volume Registration-Based Autonomous Navigation for Robot-Assisted Thyroid Biopsy[J]. J Shanghai Jiaotong Univ Sci, 2023, 28(3): 330-338.
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